Further Reading on Digital Filter Design

This section provided only a ``surface scratch'' into the large topic of digital filter design based on an arbitrary frequency response. The main goal here was to provide a high-level orientation and to underscore the high value of such an approach for encapsulating linear, time-invariant subsystems in a computationally efficient yet accurate form. Applied examples will appear in later chapters. We close this section with some pointers for further reading in the area of digital filter design.

Some good books on digital filter design in general include
[346,365,291]. Also take a look at the
various references in the `help/type` info for Matlab/Octave
functions pertaining to filter design. Methods for FIR filter design
(used in conjunction with FFT convolution) are discussed in Book IV
[459], and the equation-error method for IIR filter design was
introduced in Book II [452]. See
[283,284] for related techniques applied
to guitar modeling. See [456] for examples of using
matlab functions `invfreqz` and `invfreqs` to fit
filters to measured frequency-response data (specifically the
*wah pedal* design example). Other filter-design tools can be
found in the same website area.

The overview of methods in §8.6.2 above is elaborated in [432], including further method details, application to violin modeling, and literature pointers regarding the methods addressed. Some of this material was included in [452, Appendix I].

In Octave or Matlab, say `lookfor filter` to obtain a list of
filter-related functions. Matlab has a dedicated filter-design
toolbox (say `doc filterdesign` in Matlab). In many matlab
functions (both Octave and Matlab), there are literature citations in
the source code. For example, `type invfreqz` in Octave
provides a URL to a Web page (from [452]) describing the FFT
method for equation-error filter design.

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