Constrained least square, FIR multiband filter design
b = fircls(n,f,amp,up,lo)
f is a vector of transition frequencies in the range from 0 to 1, where 1 corresponds to the Nyquist frequency. The first point of f must be 0 and the last point 1. The frequency points must be in increasing order.
amp is a vector describing the piecewise-constant desired amplitude of the frequency response. The length of amp is equal to the number of bands in the response and should be equal to length(f)-1.
up and lo are vectors with the same length as amp. They define the upper and lower bounds for the frequency response in each band.
fircls always uses an even filter order for configurations with a passband at the Nyquist frequency (that is, highpass and bandstop filters). This is because for odd orders, the frequency response at the Nyquist frequency is necessarily 0. If you specify an odd-valued n, fircls increments it by 1.
'trace', for a textual display of the design error at each iteration step.
'plots', for a collection of plots showing the filter's full-band magnitude response and a zoomed view of the magnitude response in each sub-band. All plots are updated at each iteration step. The O's on the plot are the estimated extremals of the new iteration and the X's are the estimated extremals of the previous iteration, where the extremals are the peaks (maximum and minimum) of the filter ripples. Only ripples that have a corresponding O and X are made equal.
'both', for both the textual display and plots.
Design an order 150 lowpass filter with normalized cutoff frequency 0.4. Specify a maximum absolute error of 0.02 in the passband and 0.01 in the stopband. Display plots of the bands.
n = 150; f = [0 0.4 1]; a = [1 0]; up = [1.02 0.01]; lo = [0.98 -0.01]; b = fircls(n,f,a,up,lo,'both');
Bound Violation = 0.0788344298966 Bound Violation = 0.0096137744998 Bound Violation = 0.0005681345753 Bound Violation = 0.0000051519942 Bound Violation = 0.0000000348656 Bound Violation = 0.0000000006231
The Bound Violations denote the iterations of the procedure as the design converges. Display the magnitude response of the filter.
 Selesnick, I. W., M. Lang, and C. S. Burrus. "Constrained Least Square Design of FIR Filters without Specified Transition Bands." Proceedings of the 1995 International Conference on Acoustics, Speech, and Signal Processing. Vol. 2, 1995, pp. 1260–1263.
 Selesnick, I. W., M. Lang, and C. S. Burrus. "Constrained Least Square Design of FIR Filters without Specified Transition Bands." IEEE® Transactions on Signal Processing. Vol. 44, Number 8, 1996, pp. 1879–1892.