Next  |  Prev  |  Up  |  Top  |  Index  |  JOS Index  |  JOS Pubs  |  JOS Home  |  Search

Software for Linear-Phase Filter Design

The Matlab Signal Processing Toolbox covers many applications with the following functions:

$\displaystyle \begin{tabular}{rl}
\texttt{firpm()} & (optimal Chebyshev linear-phase FIR filter design),%
\footnote{Look for the older name \texttt{remez()} in Octave Forge} \\
\texttt{firls()} & (optimal least-squares linear-phase FIR filter design), \\
\texttt{fir1()} & (window method for linear-phase FIR \emph{lowpass} design),\\
\texttt{fir2()} & (window method for linear-phase FIR filter design), and\\
\texttt{invfreqz()} & (weighted least-squares method for general FIR (or IIR)\\
& filter design \cite[page 50]{JOST}).

All of these functions except firls are implemented in the free, open-source, Octave Forge collection as well.

Methods for FIR filter design are discussed in the fourth book of the music signal processing series [87], and classic references include [64,68]. There is also quite a large research literature on this subject.

Next  |  Prev  |  Up  |  Top  |  Index  |  JOS Index  |  JOS Pubs  |  JOS Home  |  Search

[How to cite this work]  [Order a printed hardcopy]  [Comment on this page via email]

``Introduction to Digital Filters with Audio Applications'', by Julius O. Smith III, (September 2007 Edition).
Copyright © 2018-02-16 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University