Parks-McClellan optimal FIR filter design
Parks-McClellan optimal FIR filter design.
remez(n, f, a, w = rep(1.0, length(f) / 2),
ftype = c('bandpass', 'differentiator', 'hilbert'),
density = 16)n |
order of the filter (1 less than the length of the filter) |
f |
frequency at the band edges in the range (0, 1), with 1 being the Nyquist frequency. |
a |
amplitude at the band edges. |
w |
weighting applied to each band. |
ftype |
options are: |
density |
determines how accurately the filter will be constructed. The minimum value is 16, but higher numbers are slower to compute. |
The FIR filter coefficients, an array of length(n+1), of class Ma.
Original Octave version by Paul Kienzle. Conversion to R by Tom Short. It uses C routines developed by Jake Janovetz.
Rabiner, L. R., McClellan, J. H., and Parks, T. W., “FIR Digital Filter Design Techniques Using Weighted Chebyshev Approximations”, IEEE Proceedings, vol. 63, pp. 595 - 610, 1975.
Octave Forge http://octave.sf.net
f1 <- remez(15, c(0, 0.3, 0.4, 1), c(1, 1, 0, 0)) freqz(f1)
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