代码搜索：Contribution
找到约 1,032 项符合「Contribution」的源代码
代码结果 1,032
www.eeworm.com/read/138884/5813352
m getrtx.m
function [Rtx, Rxx] = GetRtx (xt, e, L, h, POffs)
% Form the correlations, target with signal, and signal with signal for
% the lags corresponding to the pitch filter tap delays.
% Rtx: Nc correlation
www.eeworm.com/read/138884/5813359
m mpcontrib.m
function y = MPContrib (N, Pulseval)
% Calculate the N sample multipulse contribution to the
% excitation.
% $Id: MPContrib.m 1.2 2004/08/03 G.723.1-v2r1b $
% Form a pulse train
y = zeros (N, 1);
y(
www.eeworm.com/read/138884/5813361
m genexcmp.m
function [es, DecoderMem] = GenExcMP (QC, DecoderMem, DecoderPar)
% Multipulse mode decoder
% $Id: GenExcMP.m 1.10 2004/08/03 G.723.1-v2r1b $
LSubframe = DecoderPar.LSubframe;
eMem = DecoderMem.eMe
www.eeworm.com/read/489393/6470620
c party.c
// This is our contribution to Scenario party at Lahti!
// Windows 95 sucks!
// This simple 'demo' is coded by Dr.Doom/Paranoids 1995
// Joo, kyll
www.eeworm.com/read/485544/6552739
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together
www.eeworm.com/read/261194/11660040
readme
This is my short contribution to the ming projet.
To compile : build the swing library of the parent directory
cd ..
make
cd tcl_ext
make
To test : tclsh test.tcl
I use ReadHat 7.2 with tclsh8.4
www.eeworm.com/read/253950/12173601
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together
www.eeworm.com/read/339665/12211601
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together
www.eeworm.com/read/150905/12250478
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together
www.eeworm.com/read/220289/14843828
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together