% [w,y,e]= asptdrlms(x,w,d,mu,alg,k)	%%    Performs filtering and coefficient update using the %    Data Reusing Least Mean Squares (DRLMS) algorithm.%    DRLMS updates the filter coefficients k times each  %    iteration using the same input data vector to speed %    the convergence process. % 	% Input Parameters [size] :: %    x   : vector of input samples [L x 1]%    w   : vector of filter coefficients w(n-1) [L x 1]%    d   : desired output d(n) [1 x 1]%    mu  : adaptation constant%    alg : specifies the variety of the lms to use in the %          update equation. Must be one of the following: %          'lms'     [default] %          'slms'  - sign LMS, uses sign(e)%          'srlms' - signed regressor LMS, uses sign(x)%          'sslms' - sign-sign LMS, uses sign(e) and sign(x)%    k   : number of data reusing cycles% Output parameters ::%    w   : updated filter coefficients w(n)%    y   : filter output y(n)%    e   : error signal; e(n) = d(n) - y(n)%% SEE ALSO INIT_DRLMS, ASPTLMS, ASPTDRNLMS, ASPTRDRLMS, ASPTRDRNLMS.%       Author : John Garas PhD.%       Version 2.1, Release October 2002.%       Copyright (c) DSP ALGORITHMS 2000-2002.