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MATLAB FIR Filter Design Functions


FIR Filter Design

Method Description Functions
Window Apply chosen window to inverse Fourier transform of heavily interpolated desired frequency response fir1, fir2, kaiserord
Least-Squares or Chebyshev Bandpass Design Chebyshev (equal-ripple) or least-squares design on frequency bands separated by transition bands firls, firpm, firpmord
Constrained Least Squares Minimize sum of squared magnitude errors over entire frequency range subject to maximum error constraints fircls, fircls1
Complex Chebyshev Approximate any complex frequency response, including nonlinear phase and complex filters cfirpm
Raised Cosine Lowpass response with smooth, sinusoidal transition rcosdesign

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``The Window Method for FIR Digital Filter Design}'', by Julius O. Smith III, (From Lecture Overheads, Music 421).
Copyright © 2020-06-27 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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