代码搜索：Patterns
找到约 8,017 项符合「Patterns」的源代码
代码结果 8,017
www.eeworm.com/read/351797/10609695
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/351797/10609862
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/351797/10609876
m fwd.m
function y = fwd(net, x)
% FWD
%
% Compute the output of a dag-svm multi-class support vector classification
% network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, in
www.eeworm.com/read/348907/10860448
changelog
2006-06-10 meld-1.1.4
=====================
* Refresh and reload buttons.
* Better context menu behaviour for vcview.
* Allow escaping of shell patterns. (Patch from Jared Sulem)
* Stop button
www.eeworm.com/read/419563/10860757
txt fig3_53.m .txt
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Figure 3.53
% Beam patterns: N = 11
% (a) u-space
% (b) theta-space
% Xin Zhang 4/9/99
% last updated 9/5/00 by K. Bell
% Lillian Xu
www.eeworm.com/read/273047/10930340
m fwd.m
function y = fwd(net, x)
% FWD
%
% Compute the output of a dag-svm multi-class support vector classification
% network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, in
www.eeworm.com/read/453434/7420740
m fig3_53.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Figure 3.53
% Beam patterns: N = 11
% (a) u-space
% (b) theta-space
% Xin Zhang 4/9/99
% last updated 9/5/00 by K. Bell
% Lillian Xu
www.eeworm.com/read/437397/7749147
c exercise.c
/* Exercise an RS codec a specified number of times using random
* data and error patterns
*
* Copyright 2002 Phil Karn, KA9Q
* May be used under the terms of the GNU General Public License (GPL)
www.eeworm.com/read/437397/7749157
c rstest.c
/* Test the Reed-Solomon codecs
* for various block sizes and with random data and random error patterns
*
* Copyright 2002 Phil Karn, KA9Q
* May be used under the terms of the GNU General Public
www.eeworm.com/read/398324/7994152
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu