A method of improving sensitivity and speech immunity of a multifrequency receiver

Abstract: The invention relates to a method of improving the sensitivity and speech immunity of a receiver in conjunction with DTMF-reception. According to a first aspect of the invention, the number of zero-crossings of the input signal are counted during one of a number of measuring intervals in real time at frequencies which occur in the low frequency group and the high frequency group of a DTMF-signal. At the end of each of the measuring intervals, the number of zero-crossings in a current measuring interval is compared for each frequency group, with a corresponding number of zero crossings in a number of nearest preceding measuring intervals, and the magnitude of any difference is established. The input signal is treated as a DTMF-signal when the difference is at most equal to a permitted limit value. According to a second aspect, an energy parameter representative of the tone energy of an input signal is measured in real time in each of the DTMF-frequency group bands during each of a number of measuring intervals. During the end of each measuring interval, there is determined the average value of the total measured parameters over the measuring intervals from the beginning of a current signal. The difference between each of the current energy parameters in the two bands and the average value determined parameter is determined, and at least three threshold values for this difference are determined, namely a normal value beneath which a DTMF-signal is considered to exist, at least one greater-than-normal value, and at least one smaller-than-normal value. A check is made to see whether the difference in any of the bands lies above the normal value, and if such is the case, it is ascertained whether or not the difference concerned also lies above the greater-than-normal value. The difference in the other band is compared with the smaller-than-normal value in order to establish whether or not the difference lies beneath this value, in which case a DTMF-signal is considered to exist. According to a third aspect, when an interference frequency is encountered for the first time during one of a number of measuring intervals when decoding a DTMF-signal, this fact is noted and if the same interference tone is encountered in a following measuring interval, the interference tone is tolerated.

Description: Technical Field The present invention relates to a method and device for improving receiver sensitivity and speech immunity in conjunction with DTMF-reception, in particular detecting whether an input signal comprises DTMF-signals. Keypad telephones use so-called DTMF-signals (Dual Tone Multi-Frequency) for transmitting numbers. For each key a low and a high frequency signal are generated corresponding to the row and the column in which the key is located on the keypad. The resultant DTMF-signal is a composite signal which consists of a high frequency tone and a low frequency tone. The frequencies used at present are 697, 770, 852 and 941 Hz for the low frequency group and 1209, 1336, 1477 and 1633 Hz for the high frequency group. Background Art The following description of the background art is based on DTMF-receivers that include a digital signal processor. However, analog DTMF-receivers also exist. A program, the so-called DTMF-program (algorithm), is provided for measuring and examining the input signal of a DTMF-receiver. This program may be divided, for instance, into 6 ms long measuring intervals, each of which comprising 24 sub-intervals. Each sub-interval is 250 µs long (sub-sampling). At the end of each 6 ms measuring interval, the accumulated energies of the low frequency group and the high frequency group and of each DTMF-frequency are ready for analysis. The program comprises two parts. The first part is executed in real time, namely once every 250 µs, and includes input sample filtering, energy accumulation and counting zero-crossings. The other part of the DTMF-program is executed at the end of each 6 ms measuring interval (during the last 250 µs sub-interval) and includes analysing the filtration result, validation of and decoding the DTMF-signal and time supervision. These two parts of the program will be described individually in more detail below. The first part: The filtering of input samples is effected with the aid of a classic filter-bank method, which provides the spectral energy of the eight DTMF-frequencies by digital filtering. The incoming PCM-signal is first divided into a low frequency band and a high frequency band, for the high and the low frequency groups, so as to enable the latter to be processed separately. The frequency band separation is effected by two IIR elliptical cascade filters of the band-pass type (sixth order for low bands and eighth order for high bands) constructed by bilinear transforms. The output signals from each band-pass filter are then processed in four band-pass filters (second order IIR-resonators), the pass bands of which correspond to the eight DTMF-frequencies. The final result of the first program part (at the end of each 6 ms measuring interval) is the spectral energies of the low frequency band and the high frequency band and of eight DTMF-frequency bands. The second part of the program: As before mentioned, the second part of the program is executed at the end of the 6 ms measuring interval. Analysis is effected on the basis of the result obtained from the first part of the program (accumulated energies of low and high frequency bands and of each DTMF-frequency), and leads to a decoding of the DTMF-number. In effect, a number of comparisons and checks, or controls, are carried out in this second part of the program, and the average energy of each band is calculated. This series of comparisons and checks ensures that the tones are comprised within specified limits and that a valid tone is new data that must be processed. The checks are carried out in the following order: Signal level check Swing check: The swing is the difference between the average energy and the current energy of the signal (the current energy is energy that is accumulated during the preceding 6 ms measuring interval). In effect, the swing shows the level of signal stability. DTMF-signals normally have only a small swing, whereas speech normally has a large swing. Swing check is therefore used to improve speech immunity. The band-pass energies of the average values are calculated in accordance with appropriate formulae in the case where the signal is sufficiently strong and the swing value is within prescribed limits. Twist check: Twist is the difference, in decibels, between the amplitude of the strongest keypad row tone and the amplitude of the strongest keypad column tone. According to CEPT, the maximum permitted twist is ±6 dB. DTMF-frequency validation and DTMF-digit decoding: During the DTMF-frequency validation process, the program compares the energy of each frequency resonator in each group (band) with the average energy of the whole group (band). In order for a DTMF-signal to be considered to exist, it is necessary, generally, for the strongest tone in each group to be above a given threshold, whereas all other tones in the group must be beneath a given lowest noise level. Each DTMF-frequency has its own threshold and noise level. Time supervision: Time supervision ensures that the DTMF-number will only be detected in the case where all specified time requirements (tone length, pause length, tone interruption, etc.) are fulfilled. Typical problems encountered in DTMF-receivers relate to requirements concerning speech immunity and sensitivity. The more sensitive the receiver, the worse its speech immunity, in general. When constructing a DTMF-receiver, endeavours are made generally to find an optimal compromise between these two requirements, i.e. a compromise which will provide both a good sensitivity and speech immunity at one and the same time. A number of other methods of improving the speech immunity of a receiver are known in the art. The most common of these methods include: Using window techniques Analysis of second harmonics Swing check The window technique is normally used when evaluating DFT and other algorithms of this type (Görtzel algorithm). The analysis of second harmonics includes calculating the energy at the double tone frequency and introducing this value in the DTMF-tone validation checks. Application of this technique is more or less essential when using DFT (Görtzel algorithm), because relatively little calculation work is required to calculate the energy of the second harmonic. However, this calculation of the second harmonic requires the use of eight additional filters when using the filter-bank method according to the above. Swing check is the usual technique applied when using the filter-bank method. Swing is in effect a measurement of swings, or oscillations, in the level of the input signal. The level of the DTMF-signal is normally more or less constant, whereas said level is quite unstable with regard to speech. An investigation by means of a swing check examination will therefore ensure that the program will not confuse speech with DTMF-signals, or at least not too often. Nevertheless, the DTMF-signal may have marked swings in environments of very strong noise or in the presence of strong interference frequencies. In such instances, the swing check is sometimes unable to solve the speech immunity problem. The speech immunity will decrease considerably when the maximum swing tolerance increases. On the other hand, if this increase does not occur, the receiver sensitivity will worsen and detection becomes poor. The published International patent application WO-A1-87/07799 describes a telephone line supervisory system which includes a circuit for detecting voice signals in the presence of "supervisory signals" on a number of telephone lines. The teachings of this publication are based on U.S. patent US-A 4,356,348, according to which the most usual time interval between zero-crossings of an input signal is determined and this interval is compared with subsequent time intervals for classifying the input signal as to the condition whether the signal is or is not periodic. In this prior method which is not adapted to detecting DTMF-signals but only ring signals, time intervals are measured between crosspoints of an input signal. Every time the input signal crosses the zero level, an interval is generated so that the system can measure time intervals between two zero crosspoints, and a microprocessor can determine whether the input signal is a periodic signal, non-periodic signal, or silence. Thereafter, this information is employed to ascertain whether or not (1) a busy signal is present, (2) a recorded message is present, (3) a ring signal is present or (4) an answered telephone call is on the line. While this prior method can be used for differentiating among silence, periodic and non-periodic signals, it sometimes cannot recognize a valid periodic signal accompanied by a strong periodic noise signal (e.g. if the input signal is a combination of a valid DTMF-tone modulated by a strong noise tone such as a call/dial/ring signal. Obviously, in such a case, the valid signal is frequency-modulated and the time period between two consecutive zero crosspoint intervals can vary significantly - this would make the prior system falsely detect such a signal as non-periodic. According to the International patent application WO-A1-87/07799, the system includes zero crossing detectors. Short samples (10 ms) are taken from the incoming signal and also count values of the waveforms from which the signal is composed. A voice generates more events than tones for a given sample, because a voice sound exhibits more complex waveforms than tones. In order to avoid erroneous interpretation of noise, two or three samples are taken in sequence in order to distinguish between silence, tones and voice. In the published British patent application GB-A 2 185 170 a tone detector is disclosed in which a signal tone is detected by counting the number of cycles of signal waveform. U.S. patent US-A 4,045,620 describes a digital tone detector which repeatedly counts clock pulses during a definite selected number of tone cycles. A count summation is produced for each group of DTMF-tones. In the British patent specification GB 1 364 773 an arrangement is disclosed for decoding frequency coded signals such as multi-frequency signals used in dialling. Also here, the number of cycles of a reference signal is counted but however, only during a half wave of each code frequency. U.S. patent US-A 4,439,639 describes a digital tone detector for a plurality of "call progress tones", voice signals or silence. A signal is produced which corresponds to the level of the input signal, zero-crossings are counted and an envelope detector produces a signal representative of the envelope frequency. From this, a logic circuit produces an output signal which represents the identity of the input signal. U.S. patent US-A 3,927,259 teaches a signal identification system for distinguishing between noise and modulated data. The system utilizes zero crossing detection, among other things. U.S. patent US-A 4,675,898 discloses that it is known, when DTMF, to apply zero crossing detection for detecting each individual tone frequency. The publication does not deal with the problems relating to speech immunity. U.S. patent US-A 4,599,495 describes an apparatus for detecting tones in conjunction with multi-frequency signalling processes. "Talk-off immunity" is discussed and the intention is to indicate the presence of signal tones in an input channel where noise occurs. Several filters are used, and the use of first and second thresholds is mentioned. U.S. patent US-A 4,386,239 describes a multi-frequency tone detector, and the intention is to be able to distinguish between tones and signals that are derived from noise and voices. Comparator thresholds are mentioned and two comparators are used. U.S. patent US-A 5,070,526 relates to a signal analysis system for determining whether a telephone signal consists of a voice or a "call progress signal". This system utilizes a computer and analyzes segments of the digital representation of the signal to determine whether or not the signal has uniform frequency components which are repeated at regular intervals. The recognition of a tolerated single noise tone is not mentioned. Summary It is an object of the present invention is to provide a solution to the problem of receiver sensitivity and speech immunity in heavy noise environments and/or in the presence of strong interference frequencies. This object can be achieved by detecting zero-crossings of a filtered input signal, counting in real time, during each of a number of measuring intervals, the measuring intervals all having the same duration, the number of zero-crossings of the filtered input signal, comparing at the end of each of the measuring intervals the number of zero-crossings in a current measuring interval with the number of zero-crossings in a number of immediately preceding measuring intervals, and determining the magnitude of any difference therebetween, and determining the filtered input signal to comprise DTMF-tones and thereby detecting that the received input signal comprises DTMF-signals, in the case where the difference is at most equal to a permitted limit value, whereby in particular a good detecting sensitivity and a good speech immunity is obtained, when receiving telephone signals having DTMF-signals therein. Zero-crossings are counted conventionally to establish the frequency of an input signal or to distinguish between a voice signal and a signal concerning a call in process in different types of automated "voice processing apparatus", although zero crossing counts have not been used hitherto to improve the speech immunity in DTMF-receivers. Preferably, the number one (1) is used as the permitted limit value and the comparison of the number of zero-crossings is effected during at least two consecutive measuring intervals. Brief Description of the Drawings The invention will now be described in more detail with reference to the accompanying drawings, in which Figure 1 is a schematic circuit diagram illustrating a part of a DTMF-receiver intended for executing a program for measuring and investigating an input signal; Figure 2 is a flowchart illustrating a method for evaluating the results of the execution of said program; Figure 3 is a schematic diagram which illustrates a so-called swing check in accordance with the state of the art; and Figure 4 is a similar diagram illustrating a modified swing check. Detailed Description Figure 1 illustrates a part of a DTMF-receiver which measures and investigates the receiver input signal. The receiver is assumed to be equipped with a 16-bit digital signal processor. An input sample of 8-bit PCM having a sampling frequency of 8 kHz is applied first at 1 to a circuit 2 which effects sub-sampling to 4 kHz and thereon linearization to 13 or 14 bits in accordance with an A-law or µ-law. Sub-sampling to 4 kHz means that only each alternate sample is processed and is practical because a digital receiver (or filter) which processes sub-sampled samples has twice the time for real time processing as compared to a digital receiver which processes samples at normal sampling frequencies. Furthermore, sub-sampling can improve the speech immunity of the receiver (A. Zoicas, "DTMF needs no extras", 8 Communications International/April 1990). After circuit 2, the input signal is divided into a high frequency band and a low frequency band by means of a filter 4 for the high frequency group and a filter 6 for the low frequency group. The output of each of the filters 4 and 6 is delivered to four band-pass filters 8, 10, 12, 14 and 16, 18, 20, 22 respectively. The central frequencies of the filters 8 - 22 correspond to the DTMF-frequencies in the respective bands. Each of the samples obtained from the filters 4, 8, 10, 12, 14 is delivered to a respective circuit 24, 26, 28, 30 and 32 for calculating and accumulating the energy of respective filters. Similarly, the samples obtained from the filters 6, 16, 18, 20, 22 are delivered to respective circuits 34, 36, 38, 40 and 42 for the same purpose. The spectral energies of the band-pass filters and the DTMF-resonators are accumulated for a given time period. In the case of this embodiment, this time period is assumed to be 6 ms, which corresponds to 24 filtered samples (24 x 250 µs = 6 ms). Each of the output samples from the circuits 4 and 6 is delivered to a respective zero-crossing counter 44 and 46. The counters 44, 46 sense the characters of the output samples. A zero crossing occurs when the character of a current sample and an earlier sample are equal. The final results of the processing effected by the receiver in accordance with the first program part, i.e. after the end of the 6 ms-interval, are accumulated spectral energies of the high and low frequency groups respectively and eight DTMF-frequencies, and the number of zero-crossings in the two frequency groups. These results are stored in certain memory positions in the digital signal processor. The second part of the program, or the validation part, is executed by the DTMF-receiver at the end of each 6 ms-interval. This will now be described in more detail with reference to the flowchart of Figure 2. A signal level check is carried out at 50a and 50b. It is necessary that the spectral energies of the low frequency and high frequency bands exceed a given lowest level ("threshold"). If this is not the case, the input signal is not considered to be a DTMF-signal, further validation is interrupted and the receiver passes to an idle state. A multi-swing check is carried out at 52. The multi-swing check is carried out in two stages. In the first stage, the swing is determined in both the low frequency band and the high frequency band. As described in the introduction, swing is the difference between the average energy and the current energy of the signal, this latter energy being the energy that has been accumulated during the current 6 ms-interval. In the second stage, a check is made as to whether the calculated swing values are or are not within accepted limits. The multi-swing check is described in more detail below. The average (reference) energy is calculated at 54. When the result of the multi-swing check is acceptable, the average energies of both the low and the high frequency bands are again calculated, while taking the current energy of the signal into account. The average energies are calculated at the beginning of the occurrence of a new DTMF-signal. A twist check is carried out at 56. This twist check will also be described in more detail below. Validation of the DTMF-frequencies is effected at 58 and will be described in more detail below. In brief, validation of the DTMF-frequencies includes establishing the strongest DTMF-frequency in each band, calculating the relationship between the level of the strongest DTMF-frequency in the band and the level of each alternate frequency in the same band, and checking whether or not the calculated relationships, or ratios, are or are not within the permitted values (including "noise-frequency-tolerance" in accordance with the following). In order for a DTMF-signal to be considered to exist, it is necessary, in general, for the strongest DTMF-frequency in each band to be higher than a given threshold, whereas all other frequencies must be lower than a given lower threshold. This principle can be modified by the "noise-frequency-tolerance" as described below. A check of zero-crossings separate for low and high frequency bands takes place at 60, as will be described in more detail below. The number of zero-crossings can be compared not solely for two consecutive 6 ms-intervals (the current and earlier 6 ms-intervals), but also during three or more consecutive 6 ms-intervals. In actual fact, a comparison of three consecutive intervals will provide improved speech immunity. Finally, digit decoding takes place at 62. The DTMF-number digit be easily re-found when the strongest DTMF-frequency in each band is known. The strongest DTMF-frequency of each band is encountered during stage 52. If all checks are positive, the receiver passes to a state of being ready to receive a signal, otherwise the receiver passes to an idle state. In both states, the receiver checks time parameters of the temporary signal state/idle state and ensures that a new DTMF-digit will only be detected when all given time requirements (signal/pause duration, signal interruption, etc.) are fulfilled. Each detected digit forms the output to external apparatus, normally a host processor. The zero crossing count is used in accordance with the invention to improve the speech immunity of a DTMF-receiver. During the first part of the DTMF-program, zero-crossings are counted separately for the low and the high frequency groups. During the second part of the program, the number of zero-crossings in current and preceding 6 ms measuring intervals are compared in the stage referenced 60. If the difference is greater than one (1), the input signal is considered not to be DTMF. According to measurements using a test device of the MITEL type, "DTMF Receiver Test Cassette", a zero crossing check of the aforesaid kind resulted in an increase in the speech immunity of the receiver by more than 25%, while the sensitivity remained the same. A multi-swing check can also be used in the stage referenced 52 in order to improve the performance of the receiver in the presence of strong noise and/or interference frequencies in a band. Normally, a swing check is based on a comparison between average energy, calculated in accordance with the aforegoing description, and the measured current energy (amplitude) of the input signal, also measured in accordance with the aforegoing description. During the second part of the DTMF-program, the program (the algorithm) compares the current energies of, for instance, the low frequency and the high frequency groups and compares these energies with the average energies of corresponding groups. If the differences between current energies and average energies are lower than given thresholds, the program functions to recalculate the average energies, taking current energies into account, and continues to the signal validation. If the swing then is higher than the threshold value, the program draws the conclusion that the input signal is either speech or noise and stops further evaluation. As mentioned before, the drawback of this standard type of swing checks is that the DTMF-input signal can have a considerable swing in the presence of strong noise and/or interfering or disturbing frequencies. If it is the case, the DTMF-signal will be considered as speech or noise and will of course not be detected. On the other hand, if a greater swing is tolerated, the speech immunity will be considerably reduced. The difference between a standard swing check and a multi-swing check effected as described herein is illustrated by comparing Figures 3 and 4. Figure 3 illustrates the procedure that takes place with a standard swing check. When the energy of the input signal is higher than the upper threshold or is lower than the lower threshold, the input signal is considered to be speech or noise. The upper and the lower thresholds have dynamic values, i.e. their values are not constant but depend on the average energy of the input signal. This multi-swing check differs from the standard swing check in that at least three thresholds are used. Two possible threshold arrangements are illustrated in Figure 4, as described in more detail below. The number of thresholds and their relative values may be different. However, the arrangements shown in Figure 4 can be considered to provide a good balance between complexity and performance. The introduction of the multi-swing check is based on the realization that noise or interference frequencies can occur in only one of the low frequency and high frequency group bands at one and the same time. Thus, it is possible to improve receiver sensitivity by tolerating a greater swing than normal solely in this one band, and correspondingly to tolerate a smaller swing in the other band, in order to maintain an acceptable level of speech immunity. This implies the introduction of at least two further thresholds, compared with the case illustrated in Figure 3. In addition to a normal threshold 2, the first of the aforesaid arrangements also includes a threshold 3 for swings that are greater than normal, and a threshold 1 for swings that are smaller than normal. Swing checks having three thresholds, or six thresholds in the case where the thresholds are not symmetrically located around the average energy, can be carried out in accordance with the following. First, a check is made with the normal threshold in both bands. If the swing in a band is found to be greater than what is normally allowed, the swing in this band is again checked with the threshold for a greater swing than normal. If this threshold is exceeded, a check is made in the other band using the threshold for a smaller swing than normal. If the swing in this band is found to be lower than this threshold, the current input signal is a DTMF-signal, otherwise not. The second arrangement, illustrated in Figure 4, differs from the first arrangement in the same Figure in that the arrangement includes a further threshold 4 for swings greater than normal. The input signal is considered to be a DTMF-signal in the case where one of the following conditions is fulfilled in the multi-swing check. (a) The current energy of both bands is lower than the threshold 1 and/or 2. (b) The current energy of a band exceeds the threshold 2 but not the threshold 3, and the current energy of the other band is lower than the threshold 1 and/or 2. (c) The current energy of a band exceeds the threshold 3 but not the threshold 4, the current energy of the other band is lower than the threshold 1, and no previous energy of the other band, beginning from the 6 ms-interval, in which the current DTMF-signal is detected for the first time, has exceeded the threshold 3. Measurements made in practice have shown that a multi-swing check carried out using both three and four thresholds will increase the sensitivity of the receiver when noise and/or interferences are found in solely one band, without appreciably impairing speech immunity. When testing a DTMF-receiver, it was found that four thresholds will produce a slightly better result than three thresholds. Different threshold arrangements, however, are conceivable for different cases, and it is not certain that one arrangement will be optimal in all instances. It should be added that in the case of speech, the swing in both bands is normally too large at the same time. In a further case a constant interference tone occurs in the DTMF-reception. When decoding a DTMF-signal, it is necessary to find a strongest signal in each of the two frequency groups. When the strongest signal has been found, this signal is compared in each group with the amplitudes of the remaining tones in said group. Many different proposals, although similar proposals, have been put forward as to how this comparison shall be carried out. Normally, it is necessary for the strongest tone to differ from the other tones in its group by a given ratio, and at the same time it must be higher than a given threshold. The smaller the permitted threshold ratio between the strongest tone and the other tones in the group, the poorer the speech immunity. An interference tone of constant frequency can sometimes appear in the speech channel. In this case, the ratio of the strongest tone and that tone in the group which is nearest the interference tone, will be lower than the threshold ratio. Consequently, a reduction in the threshold ratio will not provide a solution, since the speech immunity will be worsened. However, as described herein, a noise tone can be tolerated or the ratio between the strongest tone and each other tone in the group is permitted to be lower than the threshold value. However, if this constituted the only limitation, it would mean that different noise tones could be tolerated within different 6 ms-intervals. This would cause the speech immunity to be reduced by more than 100%. This problem is solved by the fact that only one and the same noise frequency can be tolerated in the stage referenced 58. When a noise frequency occurs for the first time in a current DTMF-signal, this occurrence is noted by the program. If the noise frequency reappears during one of the following 6 ms-intervals of the same DTMF-signal, the noise frequency must concern the noise frequency that was previously discovered. The noise tone ratio must always be at least 3 dB below the strongest tone in the group. The use of this technique will improve receiver sensitivity in the case of one single interference tone of constant frequency (± 30 Hz).

Claims: A method of detecting DTMF-signals in a received input signal, comprising the steps of receiving (1) an input signal, and filtering (4, 6) the input signal to produce filtered signals comprising frequencies which occur in the low frequency group and which occur in the high frequency group respectively of a DTMF-signal, characterized by the further steps of detecting (44, 46) zero-crossings of one of the filtered signals, counting in real time, during each of a number of measuring intervals, the measuring intervals all having the same duration, the number of zero-crossings of the filtered signal, comparing at the end of each of the measuring intervals the number of zero-crossings in a current measuring interval to the number of zero-crossings in a number of immediately preceding measuring intervals, and determining the magnitude of any difference therebetween, and determining the filtered signal to comprise DTMF-tones and thereby detecting that the received input signal comprises DTMF-signals, in the case where the difference is at most equal to a permitted limit value, whereby in particular a good detecting sensitivity and a good speech immunity is obtained, when receiving telephone signals having DTMF-signals therein. A method according to claim 1, characterized in that the permitted limit value is 1. A method according to claim 1 or 2, characterized by effecting the comparison of the number of zero-crossings during at least two consecutive measuring intervals. A device for detecting DTMF-signals in a received input signal, comprising means (1) for receiving an input signal, and band pass filters (4, 6) for filtering the input signal to produce two filtered signals comprising frequencies which occur in the low frequency group and which occur in the high frequency group respectively of a DTMF-signal, characterized by detectors (44, 46), each of the detectors being connected to a respective one of the band pass filters (4, 6) and arranged to detect zero-crossings of one of the filtered signals produced by the respective band pass filter, counter means connected to the detectors (44, 46) for counting in real time during each of a number of measuring intervals, the measuring intervals all having the same duration, the number of zero-crossings of one of the filtered signals, comparators connected to the counter means for comparing at the end of each of the measuring intervals the number of zero-crossings in a current measuring interval to the number of zero-crossings in a number of immediately preceding measuring intervals, and first determining means connected to the comparators and arranged to determine the magnitude of any difference between said numbers, comparing means connected to the first determining means and arranged to compare the difference to a permitted limit value, second determining means connected to the comparing means and arranged to determine the filtered signal to comprise DTMF-tones and to detect DTMF-signals in the received input signal, in the case where the comparing means signals that the difference is at most equal to the permitted limit value, whereby in particular a good detecting sensitivity and a good speech immunity is obtained, when receiving telephone signals having DTMF-signals therein. A device according to claim 4, characterized in that the permitted limit value is 1. A device according to claim 4 or 5, characterized in that the comparators are arranged to effect the comparison of the number of zero-crossings during at least two consecutive measuring intervals.

Inventors: ZIMBREK SLAVEN, ZIMBREK, SLAVEN
Applicants: ERICSSON TELEFON AB L M, TELEFONAKTIEBOLAGET LM ERICSSON
Application year: 1993
Main classification: H04Q1
IPC codes: H04Q1