代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
代码结果 10,000
www.eeworm.com/read/331529/12822521
m tx_modulate.m
function mod_symbols = tx_modulate(bits_in, modulation)
full_len = length(bits_in);
% BPSK modulation
if ~isempty(findstr(modulation, 'BPSK'))
% Angle [pi/4 -3*pi/4] corresponds to
%
www.eeworm.com/read/244937/12831156
m multi_gp.m
function [x] = multi_gp(m,C)
% [x]=multi_gp(m,C)
% MULTI_GP generates a multivariate Gaussian random
% process with mean vector m (column vector) and covariance matrix C.
N=length(m);
for
www.eeworm.com/read/243140/12958937
c uid.c
/*****************************************************************************
*
* Module : uid.c
* Description : Unique identifier module.
* OS : SLOS 0.09
* Platform
www.eeworm.com/read/243140/12958942
h uid.h
/*****************************************************************************
*
* Module : uid.h
* Description : Unique identifier module.
* OS : SLOS 0.09
* Platform
www.eeworm.com/read/321160/13411544
m multi_gp.m
function [x] = multi_gp(m,C)
% [x]=multi_gp(m,C)
% MULTI_GP generates a multivariate Gaussian random
% process with mean vector m (column vector), and covariance matrix C.
N=length(m);
for i=1:
www.eeworm.com/read/321050/13412943
m multi_gp.m
function [x] = multi_gp(m,C)
% [x]=multi_gp(m,C)
% MULTI_GP generates a multivariate Gaussian random
% process with mean vector m (column vector) and covariance matrix C.
N=length(m);
for
www.eeworm.com/read/320964/13415230
m tx_modulate.m
function mod_symbols = tx_modulate(bits_in, modulation)
full_len = length(bits_in);
% BPSK modulation
if ~isempty(findstr(modulation, 'BPSK'))
% Angle [pi/4 -3*pi/4] corresponds to
%
www.eeworm.com/read/314887/13557117
m tx_modulate.m
function mod_symbols = tx_modulate(bits_in, modulation)
full_len = length(bits_in);
% BPSK modulation
if ~isempty(findstr(modulation, 'BPSK'))
% Angle [pi/4 -3*pi/4] corresponds to
%
www.eeworm.com/read/313963/13577829
m multi_gp.m
function [x] = multi_gp(m,C)
% [x]=multi_gp(m,C)
% MULTI_GP generates a multivariate Gaussian random
% process with mean vector m (column vector) and covariance matrix C.
N=length(m);
for
www.eeworm.com/read/313956/13577856
m multi_gp.m
function [x] = multi_gp(m,C)
% [x]=multi_gp(m,C)
% MULTI_GP generates a multivariate Gaussian random
% process with mean vector m (column vector), and covariance matrix C.
N=length(m);
for