源码文件
function [e,W]=lms(mu,N,u,d); % Input arguments: % mu = step size, dim 1x1 % M = filter length, dim 1x1 % u = input signal…
Channel+Estimation 源代码
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源码文件
function [e,W]=selms(mu,N,u,d); % Input arguments: % mu = step size, dim 1x1 % M = filter length, dim 1x1 % u = input sign…
源码文件
function [e,W]=srlms(mu,N,u,d); % Input arguments: % mu = step size, dim 1x1 % M = filter length, dim 1x1 % u = input sign…
源码文件
function [e,W]=salms(mu,N,u,d); % Input arguments: % mu = step size, dim 1x1 % M = filter length, dim 1x1 % u = input sign…
源码文件
% HMM's % HMM_Backward - HMM backward algorithm % HMM_Boltzmann - Find the transition matrices of an HMM using …
源码文件
% Higher-Order Spectral Analysis Toolbox. % Version 2.0.3 (R12 compliant) 27 Dec 2000 % % New Features. % Readme - Imp…
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../obj/cavlc.o: ../../encoder/cavlc.c ../../common/T264.h ../../common/portab.h \ ../../common/config.h ../../encoder/vlc.h ../.…
源码文件
_________________________________________________________________ h2m : A set of MATLAB/OCTAVE functions for the EM estimation of…
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function [class, logl] = nbh_vit(count, TRANS, alpha, beta) %nbh_vit A posteriori sequence estimation for negative binomial HMM…
源码文件
function [class, logl] = ph_vit(count, TRANS, rate) %ph_vit A posteriori sequence estimation for Poisson HMM % using …