代码搜索：Separation
找到约 547 项符合「Separation」的源代码
代码结果 547
www.eeworm.com/read/192032/8410598
m itc.m
function [kaic,kmdl,aic,mdl]=itc(V,n);
% Syntax: [kaic,kmdl,aic,mdl]=itc(V,n);
% Compute signal/noise separation using information-theoretic
% criteria. Two estimates are returned: the Akaike
% i
www.eeworm.com/read/388079/8637140
m itc.m
function [kaic,kmdl,aic,mdl]=itc(V,n);
% Syntax: [kaic,kmdl,aic,mdl]=itc(V,n);
% Compute signal/noise separation using information-theoretic
% criteria. Two estimates are returned: the Akaike
% i
www.eeworm.com/read/285121/8867426
m netamfinal.m
%% Discrete Energy Separation Algorithm 1(DESA-1)for estimation purpose on an AM signal.
%we are considering 512 samples of AM Signal given by the following equation:
k=0.8;
w=pi/128;
q=pi/6;
f
www.eeworm.com/read/182905/9186049
m jader1.5.m
function B = jadeR(X,m)
% Blind separation of real signals with JADE. Version 1.5 Dec. 1997.
%
% Usage:
% * If X is an nxT data matrix (n sensors, T samples) then
% B=jadeR(X) is a nxn s
www.eeworm.com/read/166515/10017168
m matlabjader.m
function B = jadeR(X,m)
% Blind separation of real signals with JADE. Version 1.5 Dec. 1997.
%
% Usage:
% * If X is an nxT data matrix (n sensors, T samples) then
% B=jadeR(X) is a nxn separa
www.eeworm.com/read/163238/10169100
m matlabjader.m
function B = jadeR(X,m)
% Blind separation of real signals with JADE. Version 1.5 Dec. 1997.
%
% Usage:
% * If X is an nxT data matrix (n sensors, T samples) then
% B=jadeR(X) is a nxn separa
www.eeworm.com/read/135153/5888614
c ec3104_keyb.c
/*
* linux/drivers/char/ec3104_keyb.c
*
* Copyright (C) 2000 Philipp Rumpf
*
* based on linux/drivers/char/pc_keyb.c, which had the following comments:
*
* Separation of the P
www.eeworm.com/read/156528/11794885
m jader.m
function B = jadeR(X,m)
% Blind separation of real signals with JADE. Version 1.5 Dec. 1997.
%
% Usage:
% * If X is an nxT data matrix (n sensors, T samples) then
% B=jadeR(X) is a nxn separa
www.eeworm.com/read/156528/11794973
m new_neg.m
function [y,PI] = new_neg()
%
%A new On-Line Negentropy-based Algorithm for Blind Source Separation
%copyright 2005.4.14
%author:lucky zhang
%used to separate audio signal
%usage:[y,PI]=based_ne
www.eeworm.com/read/156528/11795090
m jader.m
function B = jadeR(X,m)
% Blind separation of real signals with JADE. Version 1.5 Dec. 1997.
%
% Usage:
% * If X is an nxT data matrix (n sensors, T samples) then
% B=jadeR(X) is a nxn separa