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mattdsp / levin.m
Last active Jan 2, 2018
Least squares FIR digital filter design with prescribed magnitude AND phase response using Levinson's algorithm
View levin.m
function x = levin(a,b)
% function x = levin(a,b)
% solves system of complex linear equations toeplitz(a)*x=b
% using Levinson's algorithm
% a ... first row of positive definite Hermitian Toeplitz matrix
% b ... right hand side vector
% Author: Mathias C. Lang, Vienna University of Technology, AUSTRIA
% 1997-09
mattdsp / cfirls.m
Last active Jan 2, 2018
Complex FIR digital filter design using a complex least squares criterion (complex filter coefficients, possibly non-linear phase)
View cfirls.m
function h = cfirls(N,f,d,w)
% function h = cfirls(N,f,d,w)
% complex FIR filter design using a least squares criterion
% the desired response doesn't need to have a linear phase
% h complex-valued impulse response
% N desired filter length
% f frequency grid -1 <= f <= 1 ( '1' corresponds to Nyquist)
% d desired complex-valued frequency response on the grid f
% w (positive) weighting function on the grid f
mattdsp / eqnerror.m
Last active Jan 2, 2018
Equation error method for digital IIR filter design; optional iterative solution of exact least squares filter design problem
View eqnerror.m
function [a,b] = eqnerror(M,N,w,D,W,iter);
% [a,b] = eqnerror(M,N,w,D,W,iter);
% IIR filter design using equation error method
% if the input argument 'iter' is specified and if iter > 1, then
% the equation error method is applied iteratively trying to
% determine the true L2 solution of the nonlinear IIR design problem
% M numerator order
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