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/230855/14271827
c alg16.c
#include
#include
class even_by_twos {
public:
even_by_twos( int seed = 0 ) : _seed( seed ){}
int operator()() { return _seed += 2; }
private:
int _seed;
};
templat
www.eeworm.com/read/229880/14313887
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/229127/14352195
c alg16.c
#include
#include
class even_by_twos {
public:
even_by_twos( int seed = 0 ) : _seed( seed ){}
int operator()() { return _seed += 2; }
private:
int _seed;
};
templat
www.eeworm.com/read/126507/14418835
c alg16.c
#include
#include
class even_by_twos {
public:
even_by_twos( int seed = 0 ) : _seed( seed ){}
int operator()() { return _seed += 2; }
private:
int _seed;
};
templat
www.eeworm.com/read/221978/14712751
c genall.c
/***************************************************************************/
/*** ***/
/*** genall.c (Version 1.0)
www.eeworm.com/read/120385/14804320
c alg16.c
#include
#include
class even_by_twos {
public:
even_by_twos( int seed = 0 ) : _seed( seed ){}
int operator()() { return _seed += 2; }
private:
int _seed;
};
templat
www.eeworm.com/read/115393/15015057
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/216045/15028930
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/215717/15051542
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/213940/15121911
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