Abstract:
A system and method for reducing distortion in a pulse width modulated digital system by selectively implementing linearization. The linearization is implemented computationally efficient, using no division operations. A frequency detector is implemented which causes signals to bypass the linearization algorithm at frequencies where the new modes of distortion become significant as a result of the linearization when used in combination with an interpolation filter.

Description:
FIELD OF THE INVENTION 
     The present invention relates generally to digital audio amplifiers and more particularly to a method and apparatus for reducing harmonic distortion resulting from uniform pulse width modulation. 
     BACKGROUND OF THE INVENTION 
     Digital audio amplifiers typically implement one of several pulse width modulation schemes to effect audio signal modulation. In these amplifiers, uniform pulse width modulation, hereinafter UPWM, is a standard method of pulse width modulation used in some known audio amplifiers wherein the amplitude of each input sample is converted to a corresponding output pulse width. The beginning and ending points of a pulse can be defined by points of intersection between a saw-tooth modulation waveform and a quantized input signal waveform. UPWM is easily implemented but is known to produce significant detrimental harmonic distortion resulting in a nonlinear response. The frequency spectrum of each pulse varies as a function of the pulse width. This dynamic variation is the cause of undesirable harmonic distortion. 
     Another method of modulating audio signals known as natural pulse width modulation, hereinafter NPWM, is inherently distortion free. The beginning and ending points of a pulse are defined by points of intersection between a saw-tooth modulating waveform and an analog input waveform. However, NPWM cannot be implemented in a quantized system with digital input because it operates on an analog input signal. Various techniques are known to approximate NPWM in fully digital systems and thereby reduce harmonic distortion. 
     Other methods are known that emulate NPWM by using linearizing algorithms which operate on information from more than one input sample to determine each output pulse width. Such methods are often referred to as linearized pulse width modulation, hereinafter LPWM. Prior art demonstrates linear interpolation between two adjacent input samples to achieve the output pulse width. For example, Mellor, P. H. et al, “Reduction of Spectral Distortion in Class D Amplifiers by Enhanced Pulse Width Modulation Sampling Process” IEEE Proceedings-G, Vol. 138, No. 4, August 1991 pp. 441-448 teaches an enhanced sampling process wherein an analog input signal f(t) is transformed into an enhanced signal f n (t) where f n (t)=f((1−ε)(t−nT)+nT) and 0≦ε≦1 before it is combined with a saw-tooth modulation wave to define output pulse widths. T is the sampling period, n is the sample index and t is the independent variable. As variable ε approaches 0, the interpolation approaches natural sampling. As ε approaches 1, the interpolation approaches uniform sampling. Other interpolation methods are known using increasing numbers of samples to define each output pulse. Such methods more closely approach natural sampling but require more complex implementation. 
     Other methods of distortion reduction of UPWM in the prior art provide improvements by introducing several filters to correct for non-linearity. For example, Hawksford, M. O. J., “Dynamic Model Based Linearization of Quantized Pulse Width Modulation for Applications in Digital to Analog Conversion and Digital Power Amplifier Systems” Journal of Audio Engineering Society, Vol. 40, NO. 4, April 1992, pp. 235-250 teaches a method of compensating for the frequency dependant harmonic distortion over a limited bandwidth. Multiple finite impulse response (FIR) filters are interleaved between over-sampled pulse code modulated (PCM) data and a pulse width modulator wherein frequency responses are individually matched to the inverse square of each corresponding pulse in a pulse width modulated sequence. A dynamic filtering process is thereby provided. The extra filtering components used in these methods require an undesirably large number of storage elements and calculation cycles. 
     Still other methods of distortion reduction in pulse width modulated systems involve much additional complexity and require significant ROM storage. For example, Craven, Peter, “Toward the 24 bit DAC: Novel Noise-Shaping Topologies incorporating Correction for the Non-linearity in a PWM Output Stage.” Journal Audio Engineering Society, Vol. 41, No. 5, May 1993, pp. 291-311 teaches a complex method of nonlinear noise shaping which digitally simulates the intrinsic non-linearity of a pulse width modulation system and provides corrections through feedback and feed-forward paths. 
     U.S. Pat. No. 5,617,058 to Adrian et al. which is incorporated herein by reference teaches implementation of techniques for ternary modulation wherein a compensating pulse is added to an output pulse to compensate the linearity of a power switch. The Adrian et al. patent also teaches signal flow for digital amplification. 
     All prior mentions of linear interpolation in digital pulse width modulation either do not include an algorithm to determine the pulse width, or they disadvantageously use a division operation to compute the pulse width. Division operations are extremely computationally inefficient in digital signal processing and require many more computation steps than addition or multiplication operations, for example. Additional silicon area is therefore required to implement techniques involving division. Generally known implementations do not provide computationally efficient methods to reduce harmonic distortion in pulse width modulated systems. None of the prior art methods completely eliminate harmonic distortion. 
     SUMMARY OF THE INVENTION 
     The present invention substantially reduces harmonic distortion in a pulse width modulated system by approximating natural pulse width modulation (NPWM) using a method of linear interpolation that requires only additions and multiplications of data in a manner which is computationally efficient for digital signal processing. 
     According to the invention, a linearization algorithm is implemented between an interpolation, such as may be performed using a finite impulse response filter, (FIR), and a noise shaper. The linearization algorithm iteratively estimates the intersection between a natural input and the modulation wave thereby significantly reducing certain harmonic distortion that is inherent in uniform pulse width modulation (UPWM). 
     The present invention implements a frequency detector algorithm which disables the linearization algorithm at high frequencies. The frequency detector in an exemplary embodiment consists of a state machine that selects either to implement or bypass the linearization algorithm. The frequency detection algorithm is performed once per input sample before the interpolation filter. Where ternary pulse width modulation is used, a limiting frequency is chosen at the sampling frequency divided by six because the third harmonic is the dominant distortion product of compensated ternary pulse width modulation. Where binary pulse width modulation is used, a limiting frequency is chosen at the sampling frequency divided by four because the second harmonic is the dominant distortion product for compensated binary pulse width modulation. Above these frequencies, the dominant distortion product will be above the audio frequency band. 
     The output of the linearization algorithm in the illustrative embodiment is input to the noise-shaper, which reduces the number of bits and thereby allows the PWM output clocking to run at an attainable speed. The noise shaper output is then encoded into ternary PWM timing information. The ternary PWM output comprises three states: positive, negative and damped. Each of these states is entered every PWM cycle. The values generated for the output timer are, compensation, pulse, delay and sign. These values are loaded into the counter and determine the length of time the output remains in each state for each PWM cycle. For binary pulse width modulation, the output of the noise shaper indicates the sole pulse value. The application of the linearization algorithm practically necessitates the use of single-sided modulation because using double sided modulation with linearized pulse width modulation severely increases the complexity of the noise shaper. A standard noise shaper, known in prior art, may be used in conjunction with single sided modulation. 
     Linearized pulse width modulation (LPWM) can also be applied to binary modulation. Binary modulation comprises only two output states: positive and negative. The net pulse output is the difference between the time spent in each state per pulse period. All of the benefits of the present invention may be applied to binary pulse width modulation systems by implementing an alternative embodiment having a modified linearization algorithm. 
     It has been determined that the combined use of interpolation and linearized pulse width modulation introduces certain additional distortion that has not been discussed in the prior art. It has long been known that the over-sampled signal output from the interpolation filter contains spectral images replicated around multiples of the original sampling frequency. These images are attenuated by the interpolation filter. Because Nyquist theorem is obeyed in the encoding of the digital signal, these images never reach back into the audio spectrum and therefore do not cause audible distortion. However, where a linearization algorithm is applied to data post interpolation filter, it has been found that compensation products of the linearization algorithm can intermodulate with the replicated spectral images of the FIR filter and, at high frequencies, cause distortion to appear back in the audio spectrum. 
     Pulse width modulation encoding of a signal is also known to produce distortion products. However these known distortion products do not intermodulate with replicated spectral images because conversion to pulse width modulation does not follow Nyquist&#39;s theory. The significant distortion products caused by pulse width modulation are out of band at high frequencies so any benefit gained by application of linearization processing at high frequencies may be outweighed by detrimental intermodulation distortion. 
     Features of the present invention include a method of significantly reducing the harmonic distortion that is typically associated with uniform pulse width modulation (UPWM). As an additional feature, the present invention is implemented on a quantized digital system, unachievable in natural pulse width modulation (NPWM) systems. The present invention also includes the benefits of linearized pulse width modulation (LPWM) using a significantly simplified implementation. The implementation according to the invention features an algorithm which does not require division operations and therefore advantageously requires fewer storage elements and computation cycles than other distortion reduction methods. By requiring fewer storage elements and computation cycles, the invention facilitates fast operation and minimum physical space on an integrated circuit. As a result, the invention features a low cost, highly efficient method of reducing harmonic distortion in a digital pulse width modulated system. 
     Certain implementations of the present invention provide additional advantages of having a lower noise floor and lower distortion for damped ternary modulation at high amplitudes when a compensation pulse is not used. 
    
    
     BRIEF DESCRIPTION OF THE DRAWINGS 
     These and other features of the present invention will be better understood when reading the following description taken together with the accompanying drawings 
     FIGS. 1A,  1 B and  1 C represent respectively an example of single pulse cycle of compensated ternary outputs for a natural uniform pulse width modulated system (NPWM), a uniformly sampled pulse width modulated system (UPWM) and a linearly interpolated pulse width modulated system (LPWM) as are known in the prior art. 
     FIG. 2 represents a block diagram of an exemplary ternary pulse width modulated system as known in the prior art. 
     FIG. 3 illustrates a block diagram of an exemplary embodiment of a linearized pulse width modulated system having frequency detection according to the present invention. 
     FIG. 4 is a listing of steps of a linear interpolation algorithm according to at least one embodiment of the present invention. 
     FIG. 5 is a graph of the frequency spectrum of the output of a compensated pulse width modulation system according to the prior art. 
     FIG. 6 is a graph of the frequency spectrum of the output of a pulse width modulated system according to at least one embodiment of the present invention. 
     FIG. 7 is a graph of the frequency spectrum of a pulse width modulation system having an FIR interpolation filter and a linearization algorithm illustrating harmonic distortion at least partially caused by intermodulation. 
     FIG. 8 is a graph of the frequency spectrum of a pulse width modulation system having an FIR interpolation filter and no implementation of a linearization algorithm illustrating an absence of intermodulation distortion. 
     FIG. 9 represents a block diagram of a frequency detection algorithm component according to at least one embodiment of the present invention. 
     FIG. 10 is a listing of output timing parameters according to at least one embodiment of the present invention. 
     FIG. 11 is graphs of compensated output pulses according to at least one embodiment of the present invention. 
     FIG. 12 represents graphs of one pulse cycle of a binary linearized pulse width modulation system according to at least one embodiment of the present invention. 
     FIG. 13 is a block diagram of a binary linearized pulse width modulated system according to at least one embodiment of the present invention. 
     FIG. 14 is a listing of a linearization algorithm applicable to a binary pulse width modulated system according to at least one embodiment of the present invention. 
     FIG. 15 is graphs of binary output pulses according to at least one embodiment of the present invention. 
    
    
     DETAILED DESCRIPTION 
     Illustrative embodiments of the apparatus and methods disclosed herein are discussed in terms of digital audio amplifiers. It is envisioned, however that the invention disclosed herein is applicable to a wide variety of digital systems that require reduction of harmonic distortion such as any digital pulse width modulated system or the like. It should be recognized by persons skilled in the art that the term “digital audio amplifier” is a generic term for Class D switching amplifier and that both digital and analog versions of Class D amplifiers exist. 
     Referring first to FIGS. 1A-1C, three types of pulse width modulation known in the prior art are graphically illustrated. A graph of compensated ternary output is disposed below a graph of an input signal superimposed on a modulation signal for a naturally sampled, uniform sampled and linearly interpolated input signal in FIG. 1A,  1 B and  1 C respectively. These time domain representations are illustrative of the differences between each type of pulse width modulation. For example, as in FIG. 1A, in a natural sampling system an analog input curve intersects a modulation wave to determine the length of a pulse in each frame. The analog input signal of the illustration is the concave-down curve in the top frame of FIG  1 A. 
     A dual single sided modulation signal  10  is illustrated in each of the top frames of FIGS. 1A-1C by the pair of straight lines sloping upward and downward from a zero amplitude level. A pulse width  12  representing a sample of the amplitude of the analog signal is easily constructed by maintaining a pulse of a given state during each frame until the natural analog input signal  14  intersects the modulation wave. The compensated ternary outputs shown include a compensating pulse as described in the prior art, for example in U.S. Pat. No. 5,617,058 to Adrian et al. which is incorporated herein by reference. It can be seen that a ternary pulse width modulation output can include three states: positive, negative and damp. Harmonic distortion is not illustrated in FIGS. 1A-1C because the signal is depicted in the time domain, however it is well known in the art that natural pulse width modulation is free from harmonic distortion. It is also well known that truly natural sampling can not be realized in a digital system because a digital system must quantize the analog signal thereby introducing some harmonic distortion. 
     A frame illustrating uniform sampling of the same signal is provided in FIG. 1B. A sample  16  is taken at the beginning of the frame and held constant at an amplitude x(n−1) until it intersects the modulation wave. It can be seen that uniform sampling is well suited for digital systems because it requires no additional quantization steps. However by comparing the compensated ternary output  18  of the uniformly sampled input  16  with the compensated ternary output  20  of the naturally sampled input  14  it can be seen in the time domain that the pulse width  12  can be quite different depending on the type of sampling. Natural sampling provides the most accurate output. Such differences in the time domain appear in the frequency domain as harmonic distortion. 
     Linear interpolation of an input signal is known as a method of distortion reduction to approximate natural sampling as an alternative to more densely sampling an analog input. An interpolated input level is determined by taking information from more than one sample of an input signal per output frame. For example, by taking a sample of the input signal at the beginning and the end of a frame and constructing a straight line  22  between samples, an intersection of the straight line and the modulation wave provides an interpolated cross-over point from which to determine an output pulse width. A linearly interpolated input signal is illustrated in the top frame of FIG.  1 C. It should be noted by reference to the output frames of FIGS. 1A-1C that the linearly interpolated input sample  22  renders an output pulse width  12  more nearly approximating the output pulse width  12  of a naturally sampled input signal  14 . 
     Referring to FIG. 2, a block diagram of pulse with modulated audio amplifier of the prior art is depicted. The block diagram represents a system such as the system disclosed in U.S. Pat. No. 5,617,058 to Adrian et al. which linearizes a power switch by providing a ternary pulse width modulated output having a compensation component. The input signal  24  is first processed by a finite impulse response (FIR) filter  26  whereby the exemplary 16 bit, 44.1 kHz signal  24  is eight times oversampled to produce a 16 bit 352.8 kHz signal  28 . The noise shaper  30  reduces quantization errors in the audio band by shifting them outside of the audio bandwidth and converts the 16 bit, 352.8 kHz signal into an 8 bit, 352.8 kHz signal  32 . A Ternary PWM Encoder  34  converts the output 8 bit, 352.8 kHz signal  32  of the noise shaper  30  into timing values for a ternary pulse width modulated output signal  36 . 
     FIG. 3 illustrates a block diagram of a ternary pulse width modulating audio amplifier according to the present invention having an additional feature of a linearization cross-over point block  46  (algorithm) which can be switched out of the system by a frequency detection block  42 . A 16 bit, 44.1 kHz input signal  38  is routed in parallel to an FIR interpolation filter  40  and a frequency detection block  42 . The FIR interpolation filter  40  oversamples the input signal  38  to produce a 16 bit, 352.8 kHz signal. The frequency detection block  42  substantially simultaneously processes the input signal  38  to determine whether to implement or bypass a linearization cross point algorithm  46 . The frequency detection block  42  controls a bypass circuit  48  to route the FIR interpolation filter output signal  44  into the linearization cross point algorithm  46  if the frequency detection block  42  determines that the input signal  38  is within a range wherein the linearization cross point algorithm  46  would reduce audio frequency distortion. Otherwise, the frequency detection block  42  causes the FIR filter output signal  44  to bypass the linearization cross point algorithm  46  by routing it directly into a noise shaper  52 . If the FIR filter output signal  44  is routed through the linearization cross point algorithm  46  the output of the linearization cross point algorithm  50  is provided as input to the noise shaper  52 . The noise shaper  52  reduces quantization errors in the audio band by shifting them outside of the audio frequency band and converts the 16 bit, 352.8 kHz signal into an 8 bit, 352.8 kHz signal. A Ternary PWM Encoder  56  converts the output of the noise shaper  54  into timing values for a ternary pulse width modulated output signal  58 . 
     When implemented, the linearization algorithm provides a highly accurate interpolation of a cross-over point from which to construct a compensated ternary output pulse width. As hereinafter explained in detail the linearization algorithm may be disabled at certain frequencies where it introduces undesirable harmonic noise. The enabling/disabling of the linearization block is performed by the frequency detection block. 
     FIG. 4 lists the steps of an illustrative linearization block according to at least one embodiment of the present invention. The algorithm subtracts a previous input sample value from the current input sample value to obtain a slope value. The slope is represented as a fraction wherein a slope of unity value is equivalent to a per/sample change equal to a full scale digital signal. The slope is then multiplied by the preceding input sample and added to its value if the preceding input value is positive or subtracted if the preceding input value is negative. This first iteration produces a first approximation of an intersection between a natural input and a modulation wave. The output of the first iteration is multiplied again by the slope and again added to (or subtracted from) the previous input value to provide a second approximation of an intersection between a natural input and a modulation wave. The output of the second iteration is multiplied again by the slope and again added to (or subtracted from) the previous input value to provide a third approximation of an intersection between a natural input and a modulation wave. While more iterations are possible, simulations have shown that little improvement is achieved beyond three iterations of the linearization algorithm. 
     The level of distortion is greatly reduced over the previously known algorithm as described in the Adrian et al. patent as can be seen by reference to FIGS. 5 and 6. FIG. 5 shows an FFT (Fast Fourier Transform) of a pulse width modulated output signal according to the prior art where the input signal is a 5.5 kHz signal at 44.1 kHz sampling frequency, 8 times over-sampled and 7 bit time quantization per output period, the input signal being 3 dB below the full digital modulation level (−3 dBFS). FIG. 6 shows an FFT of a pulse width modulated output signal according to an illustrative embodiment of the present invention having the same signal parameters for comparison. The total harmonic distortion percentages were determined from simulation by standard RSS (root sum of squares) summing non-fundamental harmonic components. The total harmonic distortion component of the exemplary embodiment of the present invention illustrated in FIG. 6 was determined to be 0.0089%. The total harmonic distortion component of the prior art example illustrated in FIG. 5 was determined to be 0.068%. This example demonstrates an improvement of 7.64 times or 17.66 dB less distortion than the prior art. It is also apparent that the noise floor has been reduced over the prior art thereby producing better signal to noise measurements. 
     A heretofore unknown form of distortion is encountered as a result of following an interpolation filter with a linearization algorithm. This new form of distortion is only detrimental to audio applications at high frequencies. FIG. 7 illustrates the combined effect of an FIR interpolation filter and a linearization algorithm wherein the total harmonic distortion percentage is approximately 0.9%. FIG. 8 illustrates the output of an otherwise identical system having practically no distortion wherein the linearization algorithm is disabled. The distortion has been determined to be a result of intermodulation products of the outputs of the FIR filter and the linearization algorithm. These intermodulation products appear in the audio band at high frequencies and may substantially outweighing any benefit of implementing a linearization algorithm at those frequencies. It has therefore been determined that a component of an implementation of the present invention is a frequency detector which disables the linearization algorithm at frequencies where intermodulation distortion becomes significantly detrimental. 
     FIG. 9 illustrates a block diagram of a frequency detector according to at least one embodiment of the present invention. The frequency detector in the exemplary embodiment consists of a state machine incorporating two counters that select either to bypass or not to bypass the linearization algorithm. The frequency detector algorithm is invoked once per input sample before the FIR interpolation filter with DF and ZC standing as generic variables and where DF is initialized at zero. A first algorithm step  60  first determines whether the previous input sample was positive or negative. If the previous input sample was negative then the algorithm determines  72  whether the DF value is above a defined limit, wherein the limit determines the length of time during which the input must be above the frequency limit before the linearization algorithm is disabled. If the previous input sample is above zero then the algorithm increments  62  ZC. Once the ZC variable has been incremented, the algorithm checks  64  the current input sample value to see if it is positive or negative. If the current input sample is positive, the next step of the algorithm compares  72  the DF value to the limit value above which the linearization algorithm is disabled. If the current input sample value is negative, the algorithm checks  66  the ZC variable to see if it is less than three. If ZC is less than three then it is determined that the input frequency is above the sampling frequency divided by six. The threshold of one sixth of the sampling frequency was chosen for compensated ternary pulse width modulation systems because such systems have a third harmonic comprising a dominant distortion product. Binary pulse width modulated systems produce a second harmonic distortion product so a threshold of one fourth of the sampling frequency is used. At frequencies higher than the threshold frequency, the dominant distortion product in the digital pulse width modulation method will be above the audio frequency band. If that is the case, the algorithm then increments  68  DF if ZC&lt;3 and resets ZC to zero awaiting the next frequency check. If ZC is greater than three, the input frequency is determined to be low enough such that distortions caused by the linearization algorithm, are not present and the inclusion of this algorithm produces the more desirable output. The ZC variable determines the frequency via zero-crossing detection with the frequency detected being equivalent to fs/2ZC. Therefore, the algorithm resets  70  DF to zero, such that the linearization algorithm will be engaged. The algorithm also resets  70  ZC to zero awaiting the next frequency check. The frequency detection algorithm is implemented in an integrated circuit using very few resources and therefore does not undermine the computational efficiency for the process of LPWM. 
     The output of the linearization algorithm is provided to the input of a noise shaper as is known in the prior art, for example as taught by the Adrian et al. patent. The output of the noise shaper for an exemplary ternary pulse width modulated system determines timing values which are loaded to a counter to construct a compensated ternary waveform. 
     FIG. 10 illustrates a list of output timing variables defining a pair of compensated pulse width modulated waveform. The corresponding waveforms are shown in FIG  11 . Alternative embodiments of the present invention are applicable to binary pulse width modulated systems. As illustrated in FIG. 12, a time domain graph of a single frame of a binary pulse width modulated output signal is disposed below a depiction of linearly interpolated input superimposed on a modulation signal. It can be seen that the output pulse width  74  is defined by the cross-over point  76  where the linearly interpolated signal  78  intersects the modulation signal  80 . 
     FIG. 13 is a block diagram of a binary embodiment of the present invention. The binary embodiment as illustrated in FIG. 13 is substantially similar to the ternary embodiment illustrated in FIG. 2 except wherein the binary embodiment omits a ternary PWM encoding block at the output end. Referring to FIG. 13, a 16 bit, 44.1 kHz input signal  82  is routed in parallel to an FIR filter  84  and a frequency detection block  86 . The FIR filter  84  oversamples the input signal  82  to produce a 16 bit, 352.8 kHz signal  88 . The frequency detection block  86  controls a bypass circuit  92  to route the FIR filter output signal  88  into the linearization cross point algorithm  90  if the frequency detection block  86  determines that the input signal  82  is within a range wherein the linearization cross point algorithm  90  would reduce audio frequency distortion. Otherwise, the frequency detection block  86  causes the FIR filter output signal  88  to bypass the linearization cross point algorithm  90  by routing it directly into a noise shaper  96 . If the FIR filter output signal  88  is routed through the linearization cross point algorithm  90 , the output of the linearization cross point algorithm  94  is provided as an input to the noise shaper  96 . The noise shaper  96  reduces quantization errors in the audio band by shifting them outside of the audio frequency band and converting the 16 bit, 352.8 kHz signal into a 7 bit, 352.8 binary pulse  98 . 
     FIG. 14 is a listing of a linearization algorithm for binary pulse width modulated systems according to the present invention. It can be seen that the linearization algorithm for binary pulse width modulation is different from the previously discussed linearization algorithm for ternary pulse width modulation. Here, the previous sample input is first offset such that all inputs are positive for a 16 bit system, with the minimum input being zero. The previous sample is then subtracted from the current sample to obtain the “slope” value. The iterative algorithm is then performed with the offset value to obtain the output. The output of linearization algorithm is then used as the input for the noise shaper. 
     The frequency detection algorithm of the binary embodiment is the same as the frequency detection algorithm of the ternary embodiment. The ZC value determines a cutoff of fs/[2(ZC−1)]. A ZC value of 3 will create a frequency cutoff of fs/4, which is sufficient for both ternary and binary modulation. 
     Output binary PWM waveforms for both positive and negative outputs are shown in FIG.  15 . The sole count value, pulse  102 , is shown on the time axis  100 . This count value determines the time at which the transition from positive to negative states in the output device occurs. 
     The present invention comprises a pulse width modulated digital system having an FIR interpolation filter with a pulse code modulated digital input and a linearization block in switchable communication with the FIR interpolation filter so that the linearization block can be bypassed at frequencies where the linearization block may actually cause distortion as previously stated. Interpolation filters are well known and any number of filter types and combinations may be used without departing from the spirit and scope of the invention. 
     The linearization block performs a linearization algorithm as particularly described herein in terms of an illustrative embodiment. However, variations to the linearization algorithm described herein may be made without departing from the spirit and scope of the invention. For example, the steps of multiplication and addition are repeated three times in the illustrative embodiment. It should be noted that any number of iterations of the multiplication and division steps may be performed within the scope of the present invention. 
     The illustrative embodiment of the invention implements a frequency detector block in communication with the input to the FIR filter which is capable of causing the output of the FIR filter to bypass the linearization block when the pulse code modulated input signal exceeds a specified frequency or alternatively, to direct the output of the FIR filter to the linearization block when the pulse code modulated digital input signal does not exceed the specified frequencies. Although a particular frequency detection algorithm is described herein in terms of an illustrative embodiment, it should be appreciated by persons skilled in the art that any number of frequency detector methods and apparatus may be used. The frequency detector block may similarly use any type or number of switching circuits to route the signal to from the FIR filter to the linearization block or alternatively to bypass the linearization block. Although the illustrative embodiment implements a frequency detector block, it should be recognized that certain other embodiments of the invention may not require a frequency detector block, for example, where a system is not expected to operate at frequencies at which the linearization cross point algorithm may cause distortion. 
     The embodiments according to the invention also include a noise shaper in switchable communication with the linearization block wherein an output of the linearization block is input to the noise shaper. Alternatively, when the linearization block is bypassed, the output from the FIR interpolation filter is input to the noise shaper. The noise shaper is capable of providing parameters for constructing a pulse width modulated output signal. Although a particular noise shaper is described herein in terms of an illustrative embodiment, it should be noted that any number of variations may be made to the noise shaper without departing from the spirit and scope of the present invention. 
     Although embodiment(s) according to the present invention incorporate blocks or functional components implemented as code (i.e., software) running on a digital signal processor (DSP) it should be appreciated that components of an implementation according to the invention can be implemented with general purpose digital signal processing hardware, specially programmed computing hardware, application specific integrated circuitry, software or firmware running on general purpose or application specific hardware or various combinations of the foregoing. 
     While the embodiment described herein results in illustrative output timing variables, e.g. as illustrated in FIGS. 10 and 11, it should be appreciated that such outputs will be different as a function of the application, e.g. for different classes of output devices used according to the invention. 
     Although the invention is described hereinbefore with respect to illustrative embodiments thereof, it will be appreciated that the foregoing and various other changes omissions and additions in the form and detail thereof may be made without departing from the spirit and scope of the invention.