METHOD AND DEVICE FOR ENCODING SIGNAL, SIGNAL TRANSMITTING METHOD, SIGNAL RECORDING MEDIUM, AND METHOD AND DEVICE FOR DECODING SIGNAL

Abstract: Time-series sampled data of the input signal are grouped (SO1); the data are converted into spectrum data by MDCT (SO2); in order to divide the spectrum data into units, a code table is selected for every unit (SO6); the spectrum data are encoded by quantization using the code tables (SO8); and the encoded spectrum data, the identification signals of the code tables, the normalization coefficients and the number of steps of quantization are outputted (SO9). It is also possible to select a code table for every frame. Thus, the hardware scale of the encoder can be effectively reduced and the encoding efficiency of the encoder can be effectively improved.

Description: Technical Field This invention relates to a signal encoding method, a signal encoding apparatus, a signal transmission method, a signal recording medium, a signal decoding method, and a signal decoding apparatus, which are suitable when used in a system for encoding or decoding digital audio signals. Background Art As a sort of efficient encoding for carrying out, with high efficiency, bit compression of time series sample data signals such as digital audio signals to encode them, transform encoding using so called spectrum transform processing is known. This transform encoding is a processing for dividing an input signal into blocks to implement spectrum transform processing in respective block units to encode them, and Discrete Cosine Transform (DCT) processing is the representative spectrum transform processing of the transform encoding. In such a transform encoding, a block distortion such that discontinuous connecting (joining) portions between blocks are perceived as noise becomes problem. In order to lessen such a block distortion, a method of allowing end portions of a block to overlap with adjacent blocks is generally carried out. Here, so called MDCT (Modified DCT or Improved DCT) is such that double transmission with respect to samples at overlapping portions is not carried out while allowing an arbitrary block to overlap with blocks adjoining in both directions thereof respectively by halves (half blocks), and is therefore suitable for efficient encoding. Encoding and Decoding using such MDCT and IMDCT which is the inverse transform processing thereof is disclosed in, e.g., Mochizuki, Yano, Nishitani "Filter Constraints of Plural Block Size Mixed MDCT", Technical Research Report of Institute of Electronics and Communication Engineers of Japan, CAS90-10, DSP 90-14, pp. 55-60, or Hazu, Sugiyama, Iwatare, Nishitani "Adaptive Block Length Adaptive Transform Coding using MDCT (ATC-ABS)", Society of Electronics and Information Communication Engineers of Japan Spring National Meeting Lecture Collection of 1990, A-197. etc. The processing procedure using MDCT and IMDCT mentioned above will be briefly described below with reference to FIG. 12. In FIG. 12, an arbitrary block of time series sample data, e.g., the J-th block has portions overlapping with the (J-1)-th block and the (J+1)-th block respectively by halves (50%). When the number of samples of the J-th block is assumed to be N (N is natural number), the J-th block has overlap of N/2 samples between the J-th block and the (J-1)-th block, and also has overlap of N/2 samples between the J-th block and the (J+1)-th block. Pre-processing filter or window Wh for transform is applied to these respective blocks, e.g., an arbitrary J-th block input time series sample d01 to obtain N (number of) time series data d02. As the characteristic of the pre-processing filter or the transform window Wh, a characteristic such that the degree of power concentration of transform data is maximum is selected in correspondence with the statistical property of an input signal. By implementing linear transform processing of MDCT to the time series data d02 of N samples, N/2 (number of), which is one half of the number of input samples, independent spectrum data d03 indicating levels of spectrum components are obtained on the frequency base. By implementing processing of linear inverse transform of IMDCT to the N/2 (number of) spectrum data d03, N (number of) time series data d04 are obtained. Synthesis filter or window Wf for inverse transform is applied to the time series data d04 to obtain time series data d05 thereafter to add it to output results of blocks before and after to restore (reconstruct) original input time series sample data. In the conventional efficient encoding, there has been adopted a method of dividing spectrum data d03 obtained in a manner as described above into several units every bands to carry out normalization every these units to conduct quantization by taking the characteristic from a viewpoint of the hearing sense into consideration to carry out recording or transmission along with normalization coefficients of respective units. In addition, as in the ISO11172-3 of the ISO standard, entropy encoding is implemented such that short and long codes are respectively allocated to data of higher frequency and data of lower frequency, respectively. Thus, efficiency is increased. However, where entropy encoding is implemented in this way, the numbers of bits after encoding are different for every block of inputted time series sample data. In these circumstances, the number of bits that results may be greater than the number of bits in the state before entropy encoding is implemented. In addition, there is the drawback that, in order to implement entropy encoding, the hardware required is increased. In this case, there are uses where there is a need to improve encoding efficiency even if the hardware scale becomes large; and uses where there is a need to reduce the hardware scale although it is not required to have the encoding efficiency to be so high. It is difficult to meet these contradictory requirements. A signal encoding method in which all features of the precharacterizing part of claim 1 are disclosed, is described in PURCELL; STEPHEN, C.: "The C-Cube CL550 JPEC Image Compression Processor", 01. March 1991, IEEE COMPUTER SOCIETY, XP-10022526A, LOS ALAMITOS, CA, USA. Further, there is known from EP-A-0 424 016 a signal encoding method for encoding audio signal in which the tonality estimate uses a statistic of a plurality of the previous time frames to predict the value of a given power spectrum frequency line in the current time frame. DISCLOSURE OF THE INVENTION It is an object of the present invention to provide a signal encoding method, a signal encoding apparatus, a signal transmission method, a signal recording medium, a signal decoding method and a signal decoding apparatus capable to meet both the case where there is a need to carry out more efficient encoding and the case where there is a need to provide a more simple hardware. This object is achieved by a signal encoding method, a signal encoding apparatus, a signal transmission method, a signal recording medium, a signal decoding method and a signal decoding apparatus according to the enclosed independent claims. Advantageous features of the present invention are defined in the corresponding subclaims. With the present invention , in the case where there is a need to allow the hardware scale of encoder to become compact, it is sufficient to constitute an encoding apparatus in which only one code table is provided thus to use that one code table in encoding. Moreover, in the case where there is a need to allow the encoding efficiency to be higher, it is sufficient to constitute an encoding apparatus in which a plurality of code tables are provided thus to select a code table which can carry out encoding with the highest efficiency every respective frames, respective blocks, respective units or respective number of quantization steps. In either case, the code table identification signals are caused to undergo transmission or recording. Accordingly, this invention can cope with both the case where the hardware scale is caused to become compact and the case where the encoding efficiency is caused to be higher. Brief Description of the Drawings FIG. 1 is a flowchart showing outline of a portion of the operation of the fundamental embodiment of a signal encoding method according to this invention. FIG. 2 is a flowchart showing outline of the other portion of the operation of the fundamental embodiment of the signal encoding method according to this invention. FIG. 3 is a block diagram showing an example of a circuit configuration of an efficient encoding apparatus which realizes the signal encoding method of the embodiment. FIG. 4 is a block diagram showing an example of the circuit configuration of the control circuit of FIG. 3. FIG. 5 is a functional block diagram showing another example of the configuration for realizing, in a more practical manner, the signal encoding method of the embodiment. FIG. 6 is a view for explaining an example of frame of the embodiment. FIG. 7 is a view for explaining another example of frame of the embodiment. FIG. 8 is a view for explaining a code train subjected to transmission or recording. FIG. 9 is a flowchart showing outline of the operation of the fundamental embodiment of a signal decoding method according to this invention. FIG. 10 is a block diagram showing an example of the circuit configuration of an efficient decoding apparatus which realizes the signal decoding method of the embodiment. FIG. 11 is a block diagram showing an example of the circuit configuration of the quantized data decoding circuit of FIG. 10. FIG. 12 is a view for explaining outline of the processing procedure of MDCT (Modified Discrete Cosine Transform) and IMDCT which is the inverse transform processing thereof. Best Mode for Carrying Out the Invention Preferred embodiments of this invention will now be described with reference to the attached drawings. FIGS.1 and 2 are flowcharts showing outline of the procedure of encoding processing in the case where encoding is carried out by using an embodiment according to this invention. Initially, at the first step S01 shown in FIG. 1, time series sample data, e.g., PCM audio data, etc. is caused to undergo blocking (is divided into blocks) every predetermined number of samples (N samples in this example). As shown in the FIG. 12 mentioned above, respective blocks are set so that overlapping quantity between blocks adjacent to each other becomes equal to 50%, i.e., so that they overlap with each other by N/2 samples. A transform window Wh as shown in the FIG. 12 mentioned above is applied to sample data of the j-th block of the time series data. At the subsequent step S02, MDCT is implemented thereto, thus to obtain N/2 (number of) spectrum data indicating levels of spectrum components. At the subsequent step S03, e.g., with respect to a plurality of units obtained by dividing spectrum data in a form similar to so called critical bands, normalization coefficients are calculated. Normalization is implemented to the spectrum data. These units will be described later. At the subsequent step S04, judgment is made as to whether or not bit rate when encoded data is transferred, i.e., transfer bit rate of medium or transmission path is the number p set in advance or more. When the transfer bit rate is p or more, the processing operation proceeds to step S10 shown in FIG. 2. When the transfer bit rate is smaller than p, the processing operation proceeds to step S05 of FIG. 1. At the step S05 and the step S10, the numbers of quantization steps required for each unit are respectively calculated by taking the influence from a viewpoint of the hearing sense into consideration. Thus, the processing operation proceeds either to the subsequent step S06 or step S11 of FIG. 2. At the step S06 of FIG. 1, an optimum code table is selected, e.g., every each unit. The optimum code table referred to here may be, e.g., a code table having the highest encoding efficiency, or may be a suitable code table determined by carrying out simplified calculation in the case there is any limitation in hardware, etc. At the subsequent step S61, the number of bits required in the case where encoding is carried out by using the code table selected at the step S06 is calculated. Thus, the processing operation proceeds to the subsequent step S07. At the step S07, judgment is made as to whether or not the number of bits calculated at the step S61 is within n adapted to satisfy a bit rate set in advance. In the case where the number of bits is greater than n, re-setting of the number of quantization steps is made at step S16. Thus, the processing operation returns to the step S06 for a second time. In contrast, if the number of bits is within n at the step S07, the processing operation proceeds to the subsequent step S08. At the step S08, spectrum data is quantized by the current number of quantization steps thereafter to carry out encoding by using the code table set at the step S06 every each unit. Thus, the processing operation proceeds to step S09. At the subsequent step S09, an approach is employed to select flag indicating that identification (ID) signal of code table is independently subjected to transmission or recording every each unit as flag of code table of this frame to output ID signal of used code table (code table sub information), normalization coefficient and the number of quantization steps every each unit along with the spectrum data encoded at the step S08. Thus, the processing is completed. Moreover, in the step S11 shown in FIG. 2, one code table used in this frame is selected. At the subsequent step S12, this code table is used to calculate the number of bits used in the case where encoding is carried out. At the subsequent step S13, whether or not the number of bits calculated at the step S12 is within n adapted to satisfy a bit rate set in advance is judged. In the case where the number of bits is greater than n, re-setting of the number of quantization steps is made at step S17. Thus, the processing operation returns to the step S11 for a second time. In contrast, if it is judged at the step S13 that required number of bits is within n, the processing operation proceeds to the subsequent step S14. At the step S14, a procedure is taken to quantize spectrum data by the current number of quantization steps thereafter to encode all spectrum data by using one code table set at the step S11. At the subsequent step S15, a procedure is taken to select flag indicating used code table as a flag indicating code table of this frame to output normalization coefficient and the number of quantization steps every each unit along with spectrum data encoded at the step S14. Thus, the processing is completed. As the above-described code table, a code table using Huffman code which is a sort of entropy codes, etc. is conceivable. Thus, a plurality of tables of Huffman code may be provided to carry out the above-mentioned processing, or values themselves after undergone quantization may be used as code table value. Namely, plural tables provided may have any code with its kind being not limited to entropy code. It should be noted that while using of values themselves after undergone quantization as code table value is substantially equal to the fact that processing using code table is not carried out, processing including such a case is also assumed to be called encoding using code table in this embodiment. While description is made in this embodiment such that only one code table is selected with respect to one frame when the bit rate is a predetermined value or more, various examples such that, e.g., user selects a code table in advance, or the like may be conceivable in addition to the above. In this invention, there is no limitation in particular as to the relationship between the case an approach is employed to select only one code table with respect to one frame and the case where an approach is employed to selectively carry out switching between a plurality of code tables to use the selected one. Here, an actual example of code table used in encoding every respective frames and flag designating the applicability thereof is shown in the following Table 1. FLAG CODE TABLE APPLICABILITY 00 CT0 ENTIRETY OF FRAME 01 CT1 ENTIRETY OF FRAME 10 CT2 ENTIRETY OF FRAME 11 EVERY RESPECTIVE UNITS (RESPECTIVE NOS. OF QUANTIZATION STEPS) In this Table 1, for example, in the case where flag is "00", it is indicated that all spectrum data in frame are encoded by code table CT0. Similarly, also in the case of flags "01", "10", it is indicated that all spectrum data in frame are respectively encoded by code tables CT1, CT2. Moreover, for example, in the case where flag is "11", it is indicated that spectrum data in frame are encoded by different code tables every respective units. It is sufficient to carry out, at a different predetermined position (location) within the same frame, transmission or recording of information indicating of relationship between respective units and code tables by which those units are encoded. Further, while it is indicated in this embodiment that switching between code tables is made every respective units, it is conceivable, in addition to switching every respective units, to carry out switching between plural code tables, e.g., every respective numbers of quantization steps. Such an example is also included in this invention. In such a case, as a matter of course, signals (code table sub information) controlled by flag and subjected to transmission or recording at a different position (location) are signals every respective numbers of quantization steps. In more practical sense, this is equivalent to such an employment of a method of allowing code table selected when the number of quantization steps is, e.g., 2 bits and code table selected when the number of quantization steps is, e.g., 3 bits to be different from each other. Because numbers of quantization steps are allocated every respective units, it is sufficient to conduct switching between code tables in dependency upon the numbers of quantization steps every respective units to use the code table obtained by switching to implement encoding thereto. Moreover, switching between code tables may be carried out every block constituted with plural blocks. It is to be noted that in the case where switching between code tables is carried out every unit, every block or every number of quantization steps, these units being a unit smaller than the frame in a manner as described above, an approach is employed to transmit flag "00", "01", or "10" shown in the Table 1 as code table sub information every switching unit of code table to indicate by the transmitted flag which code table is selected every unit, every block or every number of quantization steps. A more practical example of an efficient encoding apparatus for realizing the above-described encoding processing will now be described with reference to FIG. 3. The more practical efficient encoding apparatus shown in FIG. 3 uses respective technologies of Sub Band Coding (Band Division Encoding), Adaptive Transform Encoding and Adaptive Bit Allocation. Namely, an approach is employed to divide an inputted digital signal such as PCM audio signal, etc. into signal components in a plurality of frequency bands, and to make a selection such that according as frequency shifts to higher frequency band side, bandwidths become broader to carry out the above-mentioned MDCT, which is the orthogonal transform processing, every respective frequency bands to adaptively bit-allocate the spectrum data on the frequency base thus obtained every units set by taking so called critical bands into consideration to encode those data. In FIG. 3, input terminal 11 is supplied with, e.g., an audio PCM signal of 0 ∼ 22 kHz. This input signal is divided into a signal in 0 ∼ 11 kHz band and a signal in 11 k ∼ 22 kHz band by a band division filter 12, e.g., so called QMF filter, etc. The signal in the 0 ∼ 11 kHz band is divided into a signal in a 0 ∼ 5.5 kHz band and a signal in a 5.5 k ∼ 11 kHz band similarly by a band division filter 13 such as QMF filter, etc. The signal in the 11 k ∼ 22 kHz band from the band division filter 12 is temporarily stored into a time series sample buffer 40, and is then sent to a circuit 14 for carrying out MDCT (Modified Discrete Cosine Transform) as described above which is an example of the orthogonal transform circuit. The signal in the 5.5 k ∼ 11 kHz band from the band division filter 13 is temporarily stored into a time series sample buffer 41, and is then sent to a MDCT circuit 15. The signal in the 0 to 5.5 kHz band from the band division filter 13 is temporarily stored into a time series sample buffer 42, and is then sent to a MDCT circuit 16. Thus, these signals are respectively subjected to MDCT processing. Here, although not shown, outputs of respective bands from the band division filters 12, 13 are sent to orthogonal transform block size determining means, at which block sizes are determined every respective bands. This block size information is delivered to the respective MDCT circuits 14, 15, 16, at which filter outputs of the respective bands are caused to undergo blocking in dependency upon these block sizes, and are subjected to orthogonal transform processing. With respect to length of this block size, as shown in FIG. 6, for example, 11.6 ms is caused to be fundamental length, and this length becomes maximum block size. This maximum block size is referred to as transform frame, or is simply referred to as frame. For example, in the lower frequency band (0 ~ 5.5 kHz) and the medium frequency band (5.5 k ∼ 11 kHz), block size of either 11.6 ms (long mode) or 2.9 ms (short mode) can be selected. In the higher frequency band, block size of either 11.6 ms (long mode) or 1.45 ms (short mode) can be selected. Spectrum data (also referred to as coefficient data) on the frequency base obtained after undergone MDCT processing at respective MDCT circuits 14, 15, 16 are respectively temporarily stored into spectrum data buffers 43, 44, 45, and are then sent to an adaptive bit allocation encoding circuit 17 and a control circuit 30 every units set by taking critical bands into consideration. The control circuit 30 determines, from inputted spectrum data, every unit, normalization coefficient (e.g., maximum value of absolute values of spectrum components (hereinafter referred to as spectrum signals) included in respective units, and the number of quantization steps (the number of quantization steps corresponding to the number of bits where quantizing noise is sufficiently masked by a signal of corresponding critical band). It is to be noted that critical bands are frequency bands divided in consideration of the auditory sense characteristic of the human being, and are defined as bands that narrow band noises having the same intensity in the vicinity of a frequency of a certain pure sound have when that pure sound is masked by those noises. These critical bands are such that according as frequency shifts to higher frequency band side, bandwidths become broader, and the entire frequency band of 0 ∼ 22 kHz is divided into, e.g., 25 critical bands. The control circuit 30 delivers the normalization coefficient and the number of quantization steps thus determined to the adaptive bit allocation encoding circuit 17, and delivers the normalization coefficient and the number of quantization steps also to a code train generating circuit 19 as encoding control information. The adaptive bit allocation encoding circuit 17 carries out, every respective units, an operation to normalize inputted spectrum data by normalization coefficients delivered from the control circuit 30, and to quantize normalized spectrum data by the numbers of quantization steps delivered from the control circuit 30. Data normalized and quantized in this way are delivered to a quantized data encoding circuit 18, at which further encoding such as entropy encoding, etc. is implemented thereto by using code tables. The data thus encoded is outputted to the code train generating circuit 19. The code train generating circuit 19 multiplexes encoded data outputted from the quantized data encoding circuit 18, and normalization coefficient, the number of quantization bits, code table ID (identification) information and code table sub information, etc. which correspond to the encoded data to generate a code train in conformity with a predetermined format to output the code train thus generated. An ECC encoder 46 adds error correction code to the code train from the code train generating circuit 19. An output from the ECC encoder 46 is modulated by an EFM circuit 47. The data thus modulated is then delivered to a recording head 48. The recording head 48 records data outputted from the EFM circuit 47 onto a disc 49. In the example shown in FIG. 3, the quantized data encoding circuit 18 is composed of, e.g., a selector (changeover) switch 31, and three encoders 32, 33, 34 of which code tables are different from each other, and the selector switch 31 is subjected to selective switching in accordance with code table ID information or code table sub information from the control circuit 30. As code tables used at respective encoders 32, 33, 34, code tables CT0, CT1, CT2 of the above-mentioned Table 1 are used. It is to be noted that the code table CT0 may be caused to be such a table to output inputted quantized data as it is, i.e., the encoder 32 may be a circuit which does not encoding using code table in practice. More detailed configuration of the control circuit 30 is shown in FIG. 4. The control circuit 30 is adapted to carry out virtual encoding to set various parameters in generating code trains actually subjected to transmission or recording. Spectrum data after undergone MDCT delivered from an input terminal 100 is delivered to a normalization coefficient determining circuit 101 and a number of quantization steps calculating circuit 102. The normalization coefficient calculating circuit 101 calculates normalization coefficients every respective units on the basis of inputted spectrum data to output normalization coefficient data to an adaptive bit allocation encoding circuit 103 and the adaptive bit allocation encoding circuit 17 and the code train generating circuit 19 of FIG. 3. Moreover, the number of quantization steps determining circuit 102 determines the numbers of quantization steps every respective units on the basis of inputted spectrum data. The adaptive bit allocation encoding circuit 103 normalizes and quantizes, every respective units, inputted spectrum data on the basis of the normalization coefficients and the numbers of quantization steps which have been determined. The normalized and quantized data are respectively delivered to encoders 104, 105, 106 corresponding to the encoders 32, 33, 34 of FIG. 3, at which they are encoded by using code tables different from each other. A bit rate judging circuit 110 compares information of transfer bit rate inputted from a terminal 107 and a threshold value p, whereby when the transfer bit rate is the threshold value p or more, the bit rate judging circuit 110 sends an instruction to a minimum data selecting circuit 108 so as to select minimum data in which the number of bits is minimum every frame, while when the transfer bit rate is smaller than the threshold value p, the bit rate judging circuit 110 sends an instruction to the minimum data selecting circuit 108 so as to select minimum data in which the number of bits is minimum every unit. The minimum data selecting circuit 108 selects data in which the number of bits is minimum every frame or every unit from encoded data delivered from the encoders 104, 105, 106 to output the selected one to a number of bits judging circuit 109. The number of bits judging circuit 109 judges whether or not the number of bits of the minimum data selected every frame or every unit is within such a value n to satisfy a bit rate set in advance. In the case where the number of bits is greater than n, the number of bits judging circuit 109 instructs the number of quantization steps determining circuit 102 to carry out re-setting of the number of quantization steps. In the case where the number of bits of the minimum data is greater than n, the adaptive bit allocation encoding circuit 103, the encoders 104, 105, 106, the minimum data selecting circuit 108 and the number of bits judging circuit 109 repeat the above-mentioned processing until the number of bits of the minimum data is caused to fall within n. In the case where the number of bits judging circuit 109 judges that the number of bits of the minimum data is caused to fall within n, it instructs the number of quantization steps determining circuit 102 to output the number of quantization steps at that time to the adaptive bit allocation circuit 17 and the code train generating circuit 19 of FIG. 3. In addition, the number of bits judging circuit 109 instructs the minimum data selecting circuit 108 to output code table information corresponding to data selected at that time to the selector switch 31 and the code train generating circuit 19. The adaptive bit allocation encoding circuit 17 of FIG. 3 carries out the above-described normalization and quantization on the basis of the normalization coefficient and the number of quantization steps obtained in this way. Moreover, the quantized data encoding circuit 18 selects, every frame or every unit, a corresponding code table on the basis of code table information selected in this way to carry out encoding. FIG. 5 shows another embodiment of an efficient encoding apparatus. The same reference numerals are respectively attached to the same components as those of FIG. 4, and its detailed explanation is omitted for the brevity. Spectrum data after undergone MDCT delivered from spectrum data buffers 43, 44, 45 are delivered to a normalization coefficient calculating circuit 151 and a number of quantization steps determining circuit 152. The normalization coefficient calculating circuit 151 calculates normalization coefficient every unit on the basis of inputted spectrum data to output it to an adaptive bit allocation encoding circuit 150 and a code train generating circuit 158. Moreover, the number of quantization steps determining circuit 152 determines the number of quantization steps, every unit, on the basis of inputted spectrum data to output it to the adaptive bit allocation encoding circuit 150 and the code train generating circuit 158. The adaptive bit allocation encoding circuit 150 normalizes and quantizes, every unit, spectrum data delivered from spectrum data buffers 43, 44, 45 on the basis of the normalization coefficient and the number of quantization steps which have been determined. The normalized and quantized data are delivered to respective encoders 153, 154, 155, at which they are encoded by using code tables different from each other. Bit rate judging circuit 110 compares information of transfer bit rate inputted from terminal 107 and threshold value p, whereby when the transfer bit rate is p or more, the bit rate judging circuit 110 gives an instruction to a minimum data selecting circuit 156 so as to select minimum data in which the number of bits is minimum every frame, while when the transfer bit rate is smaller than p, the bit rate judging circuit 110 gives an instruction to the minimum data selecting circuit 156 so as to select minimum data in which the number of bits is minimum every unit. The minimum data selecting circuit 156 selects data in which the number of bits is minimum every frame or every unit from encoded data delivered from encoders 153, 154, 155 to output it to a number of bits judging circuit 157. In addition, the minimum data selecting circuit 156 outputs code table information corresponding to the selected minimum data to the code train generating circuit 158. The number of bits judging circuit 157 judges whether or not the number of bits of minimum data selected every frame or every unit is within such a value n to satisfy a rate set in advance, whereby in the case where the number of bits is greater than n, the number of bits judging circuit 157 instructs the number of quantization steps determining circuit 152 to carry out re-setting of the number of quantization steps. In the case where the number of bits of the minimum data is greater than n, the adaptive bit allocation encoding circuit 150, the encoders 153, 154, 155, the minimum data selecting circuit 156, and the number of bits judging circuit 157 repeat the above-mentioned processing until the number of bits of the minimum data is caused to fall within n. In the case where the number of bits judging circuit 157 judges that the number of bits of the minimum data is within n, it outputs its minimum data to the code train generating circuit 158. The code train generating circuit 158 multiplexes encoded data outputted from the number of bits judging circuit 157, and normalization coefficient, the number of quantization bits, code table ID information and code table sub information, etc. which correspond to the encoded data to generate a code train in conformity with a predetermined format to output the code train. Meanwhile, in the case where only one code table is selected with respect to a certain frame, only flag indicating corresponding code table (code table ID information) exists as information according to the code table at the portion corresponding to one frame in a code train outputted from the code train generating circuit 19 of FIG. 3 or the code train generating circuit 158 of FIG. 5. On the other hand, in the case where tables are selected with respect to the respective units, both flag indicating that tables are selected every respective units (code table ID information) and flag indicating tables actually selected at respective units (code table sub information) are included. FIG. 6 is a view showing an example of the application relationship between the above-described transform frame and selected code table. In the case of this example, the code table is divided by block size of MDCT in the time base direction, and switching is carried out every blocks divided every output bands of band division filters 12, 13 in the frequency base direction. Accordingly, as code table ID information of this frame, "11" is selected. In the example of FIG. 5, in all of the lower frequency band, the medium frequency band and the higher frequency band, the above-described short mode is selected as block size of MDCT. Accordingly, respective blocks in the lower frequency band, the medium frequency band, and the higher frequency band become blocks indicated by slanting line portions in FIG. 5. Moreover, flags "00", "01" and "10" in the figure are examples of flags of code table sub information indicating code tables selected every respective blocks. In the lower frequency band, e.g., "00", "01", "10" and "10" are respectively assigned (allocated) to four blocks within one transform frame. In the medium frequency band, e.g., "00", "01", "01" and "10" are respectively assigned (allocated) to four blocks within one transform frame. In the higher frequency band, e.g., "00", "00", "00", "01", "01", "01" "01" and "01" are respectively assigned (allocated) to eight blocks within one transform frame. As stated above, in accordance with this embodiment, it is possible to select optimum code tables with respect to respective blocks. In this case, normalization and quantization are carried out every units obtained by further sub-dividing respective blocks in the frequency base direction. Selection of code table may be carried out every unit as described above. Moreover, FIG. 7 shows another embodiment of the transform frame. In the case of this example, the orthogonal transform block size is fixed to 11.6 ms with respect to all bands. Namely, switching between long mode and short mode in the time base direction is not carried out. By allowing the block size of the orthogonal transform processing to be fixed in this way, it becomes possible to simplify the configuration of the MDCT circuit and the IMDCT circuit. Further, in the case of the example of FIG. 7, the transform frame is divided into 52 bands in the frequency base direction, and the transform frame is ultimately constituted by 52 units. Normalization and quantization are carried out every respective units. In addition, it is possible to select code table every unit. Accordingly, in the case where encoding is carried out by using one code table with respect to the entirety of one frame, any one of "00", "01" and "10" is subjected to transmission or recording every frame as code table ID information. In the case where code table is selected every unit to carry out encoding, "11" is subjected to transmission or recording as code table ID information, and any one of "00", "01" and "10" is subjected to transmission or recording as code table sub information every unit. It is to be noted that while the basic unit in the time base direction, i.e., the maximum block size of the orthogonal transform processing is set to 11.6 ms in FIG. 7, such maximum block size may be fixed to 23.2 ms with respect to all bands. Moreover, while, in the above-described embodiment, the number of divisions in the frequency base direction is set to 52 so that division into respective units is made, the number of divisions may be set to 32 so that division into respective units is made. In addition, while the band of inputted data is set to 0 Hz to 22 kHz, that band may be set to 0 Hz to 22.05 kHz. FIG. 8 is a view showing outline of the configuration of an example of a code train generated at the code train generating circuit 19 or the code train generating circuit 158 and subjected to transmission or recording. While information such as spectrum data, normalization coefficients and the numbers of quantization steps, etc. which have been subjected to normalization, quantization and encoding are included in an actual code train, only information relating to code table is indicated for the brevity. In this figure, the (m-1)-th frame, the (m+1)-th frame and the (m+2)-th frame are encoded respectively by using single code table CT0. Accordingly, in the code train, flags "00" are transmitted one by one per one frame as the code table ID signal. On the other hand, with respect to the m-th frame, code tables are selected every units so that the m-th frame is encoded. Accordingly, flag "11" indicating such application of code table is transmitted as the code table ID signal. Further, "00", "01" ··· "01" indicating code tables selected every units are transmitted as code table sub information every units. It is to be noted that encoding such as entropy encoding, etc. of the spectrum signals (spectrum data) may be carried out every respective bands, or may be implemented to a portion of the spectrum signals. Moreover, in this operation, spectrum signals of respective blocks may be divided into several units thus to normalize spectrum signals every respective units to perform operation thereof. By employing such an approach, operation of higher accuracy can be performed by the same operation word length. Further, such division of bands or units may be changeably carried out in dependency upon the property of an input signal. Moreover, with respect to the encoding of quantized data, not only entropy encoding to assign (allocate) codes of short word length to signals of higher occurrence frequency and to assign (allocate) codes of long word length to signals of lower occurrence frequency, but also encoding using completely different peculiar code table may be carried out. FIG. 9 is a flowchart showing outline of the signal decoding procedure for carrying out decoding of signals obtained by the above-described encoding method or efficient encoding apparatus of the embodiment. Steps S30 to S35 of FIG. 9 respectively represent steps of the operation. At the first step S30 shown in FIG. 9, flag of the portion indicating code table of data inputted directly from the efficient encoding apparatus or through a transmission path therefrom, or reproduced and inputted from recording media such as package media, etc. is read. Thus, the processing procedure proceeds to the subsequent step S31. At the step S31, judgment is made as to whether or not this flag indicates that code table is changed (switched) every unit and that ID signal of code table of each unit is independently subjected to recording or transmission. In the case where this flag indicates that code table is changed every unit, the processing operation proceeds to step S33. In contrast, in the case where this flag indicates that the entirety of block is encoded by one code table, the processing operation proceeds to step S32. At the step S32, code table designated by using flag is used to carry out decoding to constitute N/2 (number of) spectrum data. Thus, the processing procedure proceeds to the subsequent step S35. At the step S33, ID signal of code table independently subjected to recording or transmission in accordance with each unit is read. Thus, the processing operation proceeds to the subsequent step S34. At the step S34, code tables corresponding to the ID signal which have been read at the step S33 are used to decode spectrum data of respective units to constitute N/2 (number of) spectrum data in total. Thus, the processing operation proceeds to step S35. At the last step S35, release of inverse quantization and normalization is carried out with respect to decoded spectrum data thereafter to implement IMDCT to apply inverse transform window to determine N (number of) time series sample data to synthesize it with data of blocks adjoining in both directions to output synthetic output. Thus, the processing is completed. A decoding apparatus for realizing the above-described decoding processing, i.e., an efficient decoding apparatus for carrying out processing opposite to that of the efficient encoding will now be described with reference to FIG. 10. In the FIG. 10 referred to here, a code train reproduced through a reproducing head 51 from disc 49 is delivered to an EFM data demodulating circuit 52. The EFM data demodulating circuit 52 demodulates the inputted code train. The demodulated code train is delivered to an ECC decoder 53, at which error correction is carried out. The error corrected code train is temporarily stored into an encoded data buffer 54, and is then delivered to a code train separating circuit 55. The code train separating circuit 55 releases multiplexing of the code train to deliver normalization coefficient and the number of quantization steps to a spectrum decoding circuit 22, delivers an encoded spectrum signal which has been normalized and quantized, and encoded by using code table to a quantized data decoding circuit 21, and delivers information relating to code table (code table ID information, code table sub information) to a code table selecting circuit 56. The code table selecting circuit 56 decodes the code table ID information to judge whether that information is flag indicating code table used in encoding of the entirety of one frame (i.e., "00", "01", "10"), or flag indicating that code table sub information exists (i.e., "11"). In the case where the code table ID information is flag indicating code table used in encoding of the entirety of one frame, the code table selecting circuit 56 instructs the quantized data decoding circuit 21 to carry out decoding by using code table designated by flag with respect to all units within corresponding one frame. Moreover, in the case where code table ID information is flag indicating that code table sub information exists, the code table selecting circuit 56 decodes code table sub information transmitted every unit to instruct the quantized data decoding circuit 21 to carry out decoding by using code table designated by flag of code table sub information every unit. The quantized data decoding circuit 21 is composed, as shown in FIG. 11, for example, of a selector (changeover) switch 200, and three decoders 201, 202, 203 of which code tables are different from each other. In this example, these three decoders 201, 202, 203 respectively carry out processing opposite to those of encoders 32, 33, 34 (or encoders 153, 154, 155) of the efficient encoding apparatus. At the quantized data decoding circuit 21, the selector switch 200 is switched every frame, or every unit on the basis of a select signal delivered from the code table selecting circuit 56. Thus, decoding is carried out by using code table corresponding to code table used at the time of encoding. The spectrum decoding circuit 22 carries out release of inverse quantization and normalization by using normalization coefficient and the number of quantization steps delivered from the code train separating circuit 55 every unit with respect to the data delivered from the quantized data decoding circuit 21 to construct spectrum data. Data corresponding to the band of 11 k ~ 22 kHz of these spectrum data are temporarily stored into a spectrum data buffer 57, and are then sent to an IMDCT circuit 23 by N/2 number of data. Moreover, data corresponding to the band of 5.5 k ~ 11 kHz are temporarily stored into a spectrum buffer 58, and are then sent to an IMDCT circuit 24 by N/2 number of data. Further, data corresponding to the band of 0 ~ 5.5 kHz are temporarily stored into a spectrum data buffer 59, and are then sent to an IMDCT circuit 25 by N/2 number of data. The IMDCT circuits 23, 24, 25 respectively implement IMDCT to spectrum data to apply inverse transform window to generate N (number of) time series sample data. The time series sample data outputted from the IMDCT circuits 23, 24, 25 are respectively temporarily stored into time series sample buffers 60, 61, 62, and are then delivered to overlapping portion adding circuits 63, 64, 65. The overlapping portion adding circuits 63, 64, 65 respectively carry out processing to add time series sample data stored in the time series sample buffers 60, 61, 62 to time series sample data of blocks adjoining in both directions to output signal waveform data every respective bands. The signal waveform data of 0 ~ 5.5 kHz and the signal waveform data of 5.5 k ~ 11 kHz of the signal waveform data in these three bands obtained in this way are first synthesized by a band integration (synthesis) circuit 26, i.e., both signal waveform data are changed into signal waveform data of 0 ~ 11 kHz. The synthetic signal thus obtained is synthesized with the signal waveform data of 11 k ~ 22 kHz by a band integration (synthesis) circuit 27. Thus, signal waveform data over the entire band is outputted from output terminal 28. It is to be noted while, in the above-described embodiments, a plurality of encoders 32, 33, 34 or encoders 104, 105, 106 for carrying out encoding by using code tables different from each other are respectively provided on the encoder (efficient encoding apparatus) side to adaptively select code table thus to carry out encoding, only one encoder may be provided in advance to encode the entire frame by using a single code table. When such an approach is employed, the circuit scale of the encoder can become compact. It should be noted that, also in this case, since it is necessary to inform the decoder (efficient decoding apparatus) side of a code table used for encoding, code table ID signal is subjected to transmission or recording similarly to the above-described embodiment. Moreover, while, in the above-described embodiments, an approach is employed to select a code table of the highest encoding efficiency by the minimum data selecting circuit 108 or the minimum data selecting circuit 156, user may arbitrarily set code table. Further, while, in the above-described embodiments, encoders 32, 33, 34, encoders 104, 105, 106 and decoders 201, 202, 203 are constituted by independent (separate) hardware, there may be employed a configuration in which at least one of encoders or decoders are caused to be commonly used to read out respective code tables stored in ROM, etc. to use them. Further, while, in the above-described embodiments, at the preceding stage of MDCT, the entire band is divided into three bands of uneven bandwidths by using two QMFs (Quadrature Mirror Filters), the entire band may be divided into four bands of equal bandwidth by using PQF (Polyphase Quadrature Filter), etc. to carry out MDCT with respect to respective bands. Further, while judgment of the number of bits is carried out by using encoded data itself in the above-described embodiments, such a judgment may be carried out by operation. Further, while code trains are recorded onto the disc in the above-described embodiments, optical disc, magneto-optical disc and phase change disc, etc. may be used as the disc. Moreover, as a recording medium, in addition to the above, magnetic disc, tape shaped recording medium, or IC card, etc. using semiconductor memory element, etc. may be employed. Moreover, this invention is not limited to the case where code trains are recorded onto or into the recording medium, and such code trains may be instead transmitted through a transmission path such as an optical fiber, etc. Further, this invention is not limited only to the above-described embodiments. Apparatuses applied are not limited to efficient encoding apparatus/efficient decoding apparatus shown in the FIGS. 3, 5, 10 mentioned above, but may be also applied to various transform encoding apparatuses or decoding apparatuses for releasing encoding. Moreover, this invention can be applied not necessarily only to the case where spectrum transform processing is used, but also to the case where band division is made by band division filter to carry out encoding/decoding. Further, this invention may be applied not only to, e.g., a signal processor for audio PCM signals, but also to signal processors for digital speech signal or digital video signal, etc. Furthermore, as the bit allocation technique, wide variety of bit allocation techniques are conceivable. As the most simple method, fixed bit allocation, simple bit allocation by respective band energies of signals, and bit allocation in which fixed bit allocation and variable bit allocation are combined may be used. In addition, as described above, the above-mentioned orthogonal transform block size is not limited to the example shown, but may be caused to arbitrarily undergo a setting such that, e.g., the orthogonal transform block size is set to 23.2 ms in the time base direction, the number of division of bands in the frequency base direction is set to 4, or the orthogonal transform block size is set to 22.05 kHz or 20 kHz in the frequency base direction. In accordance with the signal encoding method or apparatus according to this invention, an input signal is divided into blocks to divide these blocks into a plurality of units to implement compression encoding thereto to encode a portion or all of the processed signals by using code table or tables to take out an output signal, wherein respective blocks are permitted to have a plurality of code tables for encoding, thus making it possible to designate code table for encoding at least every frame. Thus, in the case where there is a need to allow the hardware scale of the encoder to be compact, an approach is employed to constitute a signal encoding apparatus in which only one code table is provided to use that one code table in encoding. Moreover, in the case where there is a need to allow the encoding efficiency to be higher, there is employed a configuration in which a plurality of code tables are provided, thus making it possible to select code table which can carry out encoding with the highest efficiency every frame, every block, every unit or every number of quantization steps. Accordingly, this invention can cope with, by control of flag in the same standard, both the case where there is a need to carry out more efficient encoding and the case where there is a need to provide a more simple hardware.

Claims: An audio signal encoding method for encoding an input signal, the method comprising the steps of: transforming (S02) the input signal into spectrum signals; calculating (S05; S10) a quantization step to quantize spectrum signals every compression unit; selecting (S06; S11) a code table from a plurality of code tables; quantizing (S08; S14) the spectrum signals by using the calculated quantization step every unit; and encoding at least a portion of the quantized spectrum signals by using the selected table; characterized in that the extent of application of the selected code table to the quantized spectrum signals is determined based on a predetermined criteria (S04) and application status indicating the selected code table and the extent of application of the code table are added to the encoded spectrum signals of every predetermined data unit (S09; S15). A signal encoding method as set forth in claim 1, wherein depending on the predetermined criteria the application of the selected code table extends either on a transform frame of the quantized spectrum signals or on a single compression unit of a plurality of compression units of a transform frame of the quantized spectrum signals. A signal encoding method as set forth in claim 2, wherein the predetermined data unit is formed of a single compression unit or a plurality of compression units. A signal encoding method as set forth in claim 3, wherein in the case where the application of the selected code table extends on a single compression unit of a plurality of compression units of a transform frame, each compression unit of the predetermined data unit is encoded (S08) by selectively using a plurality of code tables. A signal encoding method as set forth in anyone of claims 1 to 4, wherein spectrum signals are quantized by a predetermined number of quantization steps and a predetermined code table from a plurality of code tables for every predetermined number of quantization steps is selected. An audio signal encoding apparatus adapted for encoding an input signal comprising: means (S05; S10) for calculating a quantization step to quantize spectrum signals every compression unit; means (S06; S11) for selecting a code table from a plurality of code tables; means (S08; S14) for quantizing the spectrum signals by using the calculated quantization step every unit; and means for encoding at least a portion of the quantized spectrum signals by using the selected table; characterized by means for determining the extent of application of the selected code table to the quantized spectrum signals based on a predetermined criteria (S04) and for adding application status indicating the selected code table and the extent of application of the code table to the encoded spectrum signals of every predetermined data unit (S09; S15). A signal encoding apparatus as set forth in claim 6, wherein depending on the predetermined criteria the application of the selected code table extends either on a transform frame of the quantized spectrum signals or on a single compression unit of a plurality of compression units of a transform frame of the quantized spectrum signals. A signal encoding apparatus as set forth in claim 7, wherein the predetermined data unit is formed of a single compression unit or a plurality of compression units. A signal encoding apparatus as set forth in claim 8, wherein in the case where the application of the selected code table extends on a single compression unit of a plurality of compression units of a transform frame, each compression unit of the predetermined data unit is encoded (S08) by selectively using a plurality of code tables. A signal encoding apparatus as set forth in anyone of claims 6 to 9, wherein spectrum signals are quantized by a predetermined number of quantization steps and a predetermined code table from a plurality of code tables for every predetermined number of quantization steps is selected. An audio signal transmission method for carrying out transmission of encoded signals comprising the steps of: carrying out transmission of an encoded signal obtained by transforming an input signal into spectrum signals; calculating (S05; S10) a quantization step to quantize spectrum signals every compression unit; selecting (S06; S11) a code table from a plurality of code tables; quantizing (S08; S14) the spectrum signals by using the calculated quantization step every unit; and encoding at least a portion of the quantized spectrum signals by using the selected table; characterized in that the extent of application of the selected code table to the quantized spectrum signals is determined based on a predetermined criteria (S04) and application status indicating the selected code table and the extent of application of the code table are added to the encoded spectrum signals of every predetermined data unit (S09; S15). A signal transmission method as set forth in claim 11, wherein depending on the predetermined criteria the application of the selected code table extends either on a transform frame of the quantized spectrum signals or on a single compression unit of a plurality of compression units of a transform frame of the quantized spectrum signals. A signal transmission method as set forth in claim 12, wherein the predetermined data unit is formed of a single compression unit or a plurality of compression units. A signal transmission method as set forth in claim 13, wherein in the case where the application of the selected code table extends on a single compression unit of a plurality of compression units of a transform frame, each compression unit of the predetermined data unit is encoded (S08) by selectively using a plurality of code tables. A signal transmission method as set forth in anyone of claims 11 to 14, wherein spectrum signals are quantized by a predetermined number of quantization steps and a predetermined code table from a plurality of code tables for every predetermined number of quantization steps is selected. An audio signal recording medium having recorded thereon encoded signals each obtained by transforming (S02) the input signal into spectrum signals; calculating (S05; S10) a quantization step to quantize spectrum signals every compression unit; selecting (S06; S11) a code table from a plurality of code tables; quantizing (S08; S14) the spectrum signals by using the calculated quantization step every unit; and encoding at least a portion of the quantized spectrum signals by using the selected table; characterized in that the extent of application of the selected code table to the quantized spectrum signals is determined based on a predetermined criteria (S04) and application status indicating the selected code table and the extent of application of the code table are added to the encoded spectrum signals of every predetermined data unit (S09; S15). A signal recording medium as set forth in claim 16, wherein depending on the predetermined criteria the application of the selected code table extends either on a transform frame of the quantized spectrum signals or on a single compression unit of a plurality of compression units of a transform frame of the quantized spectrum signals. A signal recording medium as set forth in claim 17, wherein the predetermined data unit is formed of a single compression unit or a plurality of compression units. A signal recording medium as set forth in claim 18, wherein in the case where the application of the selected code table extends on a single compression unit of a plurality of compression units of a transform frame, each compression unit of the predetermined data unit is encoded (S08) by selectively using a plurality of code tables. A signal recording medium as set forth in anyone of claims 16 to 19, wherein spectrum signals are quantized by a predetermined number of quantization steps and a predetermined code table from a plurality of code tables for every predetermined number of quantization steps is selected. An audio signal decoding method for decoding an encoded audio signal generated by transforming (S02) the audio signal into spectrum signals; calculating (S05; S10) a quantization step to quantize spectrum signals every compression unit; selecting (S06; S11) a code table from a plurality of code tables; quantizing (S08; S14) the spectrum signals by using the calculated quantization step every unit; and encoding at least a portion of the quantized spectrum signals by using the selected table; wherein the extent of application of the selected code table to the quantized spectrum signals is determined based on a predetermined criteria (S04) and application status indicating the selected code table and the extent of application of the code table are added to the encoded spectrum signals of every predetermined data unit (S09; S15), the method comprising the steps of: selecting (S30) one or plural predetermined code tables every the predetermined data unit on the basis of the indicated application status and the indicated extent of application of the code table; decoding (S32; S34) the encoded signal by using the selected code table or tables; generating (S32; S34) spectrum signals by expansion the decoded signal every compression unit; and inverse transforming (S35) the spectrum signals to the original signal. A signal decoding method as set forth in claim 21, wherein the application of the selected code table extends either on a transform frame of the quantized spectrum signals or on a single compression unit of a plurality of compression units of a transform frame of the quantized spectrum signals. A signal decoding method as set forth in claim 22, wherein the predetermined data unit is formed of a single compression unit or a plurality of compression units. A signal decoding method as set forth in claim 23, wherein in the case where the application of the selected code table extends on a single compression unit of a plurality of compression units of a transform frame, each compression unit of the predetermined data unit is decoded (S08) by selectively using a plurality of code tables. A signal decoding method as set forth in anyone of claims 21 to 24, wherein the expansion processing includes a processing for carrying out inverse quantization on the basis of a transmitted predetermined number of quantization steps, and wherein the predetermined code table is selected from a plurality of code tables every the predetermined number of quantization steps. An audio signal decoding apparatus adapted for decoding an encoded audio signal generated by transforming (S02) the audio signal into spectrum signals; calculating (S05; S10) a quantization step to quantize spectrum signals every compression unit; selecting (S06; S11) a code table from a plurality of code tables; quantizing (S08; S14) the spectrum signals by using the calculated quantization step every unit; and encoding at least a portion of the quantized spectrum signals by using the selected table; wherein the extent of application of the selected code table to the quantized spectrum signals is determined based on a predetermined criteria (S04) and application status indicating the selected code table and the extent of application of the code table are added to the encoded spectrum signals of every predetermined data unit (S09; S15), the apparatus comprising: decoding means (S32; S34) for decoding the encoded signal by using one or plural predetermined code table or tables selected (S30) on the basis of the indicated application status and the indicated extent of application of the code table; generating means (S32; S34) for generating spectrum signals by expansion of the decoded signal every compression unit; and inverse transforming means (S35) for transforming the spectrum signals to the original signal. A signal decoding apparatus as set forth in claim 26, wherein depending on the predetermined criteria the application of the selected code table extends either on a transform frame of the quantized spectrum signals or on a single compression unit of a plurality of compression units of a transform frame of the quantized spectrum signals. A signal decoding apparatus as set forth in claim 27, wherein the predetermined data unit is formed of a single compression unit or a plurality of compression units. A signal decoding apparatus as set forth in claim 28, wherein in the case where the application of the selected code table extends on a single compression unit of a plurality of compression units of a transform frame, each compression unit of the predetermined data unit is encoded (S08) by selectively using a plurality of code tables. A signal decoding apparatus as set forth in anyone of claims 26 to 29, wherein the expansion processing includes a processing for carrying out inverse quantization on the basis of a transmitted predetermined number of quantization steps, and wherein the predetermined code table is selected from a plurality of code tables every the predetermined number of quantization steps.

Inventors: SHIMOYOSHI OSAMU, SONOHARA MITO, TSUTSUI KYOYA, SHIMOYOSHI, OSAMU, SONOHARA, MITO, TSUTSUI, KYOYA, SHIMOYOSHI, Osamu Sony Corporation, SONOHARA, Mito Sony Corporation, TSUTSUI, Kyoya Sony Corporation
Applicants: SONY CORP, SONY CORPORATION
Application year: 1995
Main classification: H03M7
IPC codes: G11B20, H03M7, G10L19, H04B1