?? asptnlms.m
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% [w,y,e,p]= asptnlms(x,w,d,mu,p,b)
%% Performs filtering and coefficient update using the
% Normalized Least Mean Squares Adaptive algorithm.
% % Input Parameters [Size]:: % x : input samples delay line [L x 1]
% w : filter coefficients vector w(n-1) [L x 1]
% d : desired output d(n) [1 x 1]
% mu : adaptation constant% p : last estimated power of x p(n-1)
% b : AR pole for recursive calculation of p% Output parameters::
% w : updated filter coefficients w(n)
% y : filter output y(n)
% e : error signal; e(n) = d(n)-y(n)
% p : new estimated power of x p(n)
%
% SEE ALSO INIT_NLMS, MODEL_NLMS, ASPTLMS
% Author : John Garas PhD.% Version 2.1, Release October 2002.% Copyright (c) DSP ALGORITHMS 2000-2002.
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