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/242939/12971771
c tty_rate.c
/**********************************************************************
Each of the companies; Lucent, Motorola, Nokia, and Qualcomm (hereinafter
referred to individually as "Source" or collectivel
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c tty_char.c
/**********************************************************************
Each of the companies; Lucent, Motorola, Nokia, and Qualcomm (hereinafter
referred to individually as "Source" or collectivel
www.eeworm.com/read/242939/12971792
h tty_dbg.h
/**********************************************************************
Each of the companies; Lucent, Motorola, Nokia, and Qualcomm (hereinafter
referred to individually as "Source" or collectivel
www.eeworm.com/read/242939/12971803
c tty_enc.c
/**********************************************************************
Each of the companies; Lucent, Motorola, Nokia, and Qualcomm (hereinafter
referred to individually as "Source" or collectivel
www.eeworm.com/read/242939/12971807
h typedef_tty.h
/**********************************************************************
Each of the companies; Lucent, Motorola, Nokia, and Qualcomm (hereinafter
referred to individually as "Source" or collectivel
www.eeworm.com/read/242939/12971892
c mdfyorig.c
/**********************************************************************
Each of the companies; Lucent, Motorola, Nokia, and Qualcomm (hereinafter
referred to individually as "Source" or collectivel
www.eeworm.com/read/140851/13059172
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 toget
www.eeworm.com/read/138798/13212253
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 toget
www.eeworm.com/read/138884/5813317
m acelpcontrib.m
function y = ACELPContrib (N, Pulseval, ACELPpar)
% Calculate the N sample ACELP contribution to the excitation.
% $Id: ACELPContrib.m 1.7 2004/08/03 G.723.1-v2r1b $
% Place the pulses with the (sig
www.eeworm.com/read/138884/5813334
m genexccng.m
function [es, DecoderMem] = GenExcCNG (GainT, DecoderMem, DecoderPar)
% Generate a CNG frame.
% GainT: Target gain
% $Id: GenExcCNG.m 1.5 2004/08/03 G.723.1-v2r1b $
LSubframe = DecoderPar.LSubfram