代码搜索：NLMS

找到约 97 项符合「NLMS」的源代码

代码结果 97
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www.eeworm.com/read/145776/12703092

m nlms2.m

%NLMS2 Problem 4.4 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of reference signal % sigman - standard de
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www.eeworm.com/read/136968/13350815

m nlms2.m

clear all; snr=20; order=8; Hn =[0.8783 -0.5806 0.6537 -0.3223 0.6577 -0.0582 0.2895 -0.2710 0.1278 -0.1508 0.0238 -0.1814 0.2519 -0.03
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www.eeworm.com/read/302326/13837634

m nlms1.m

%NLMS1 Problem 3.3 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of signal to predict % sigman - standard
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www.eeworm.com/read/302326/13837643

m nlms2.m

%NLMS2 Problem 4.4 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of reference signal % sigman - standard de
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www.eeworm.com/read/147682/5728072

m init_nlms.m

% [w,x,d,y,e,p]=init_nlms(L,w0,x0,d0) % % Creates and initializes the variables required for the % Normalized Least Mean Squares Adaptive Filter algorithm. % % Input Parameters [Size]::
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www.eeworm.com/read/309192/6342016

m nlms1.m

%NLMS1 Problem 3.3 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of signal to predict % sigman - standard
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www.eeworm.com/read/309192/6342024

m nlms2.m

%NLMS2 Problem 4.4 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % s - deterministic part of reference signal % sigman - standard de
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www.eeworm.com/read/489280/6477594

m mmax_nlms.m

function [e,w] = Mmax_nlms(x,d,N,M,w0,mu,epsilon) %[e,w] = Mmax_nlms(x,d,N,w0,mu) implements the M max NLMS algorithm. % ---------------- % input parameters % ---------------- % x : Lx1
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www.eeworm.com/read/489280/6477595

m seq_nlms.m

function [e,w] = seq_nlms(x,d,N,M,w0,mu,epsilon) %[e,w] = seq_lms(x,d,N,M,w0,mu) implements the sequential partial update LMS %algorithm. % ---------------- % input parameters % ----------
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www.eeworm.com/read/489280/6477596

m full_nlms.m

function [e,w] = full_nlms(x,d,N,w0,mu,epsilon) %[e,w] = full_nlms(x,d,N,w0,mu,epsilon) implements the NLMS algorithm. % ---------------- % input parameters % ---------------- % x : Lx1
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