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/406664/11437946
c alg7.c
#include
#include
#include
class equal_and_odd{
public:
bool
operator()( int val1, int val2 )
{
return ( val1 == val2 &&
( val1 == 0
www.eeworm.com/read/158620/11597846
m gnray.m
function [n1,n2]=gnray(m,sgma)
% [n1 n2]=gnray(m,sgma)
% [n1 n2]=gnray(sgma)
% [n1 n2]=gnray
% GNRAY generates two independent rayleigh variables with
% mean m & S.D sgma
% if one of the input
www.eeworm.com/read/158297/11627069
m nextprime.m
function y=nextprime(x);
% This program generates the next prime that occurs after x
% Uses Miller-Rabin method to check whether a prime or not
y=x+1;
% Don't consider any evens
if mod(y,2)==0,
y=
www.eeworm.com/read/157007/11745181
c alg7.c
#include
#include
#include
class equal_and_odd{
public:
bool
operator()( int val1, int val2 )
{
return ( val1 == val2 &&
( val1 == 0
www.eeworm.com/read/259722/11771436
c alg7.c
#include
#include
#include
class equal_and_odd{
public:
bool
operator()( int val1, int val2 )
{
return ( val1 == val2 &&
( val1 == 0
www.eeworm.com/read/156364/11808692
c alg7.c
#include
#include
#include
class equal_and_odd{
public:
bool
operator()( int val1, int val2 )
{
return ( val1 == val2 &&
( val1 == 0
www.eeworm.com/read/258306/11871498
vhd tx_state_mach.vhd
-- Altera Microperipheral Reference Design Version 0802
--**********************************************************************************************
--
-- System: A8251
-- Component: Tx
www.eeworm.com/read/154996/11907529
m fh.m
%***********************************************************
% This mfunction generates orthogonal complex
% exponential matrix [exp(j*2*pi*n*k/N)]
%
% AUTHOR: Wenbin Luo
% DA
www.eeworm.com/read/343227/11962836
m mix_gen.m
function [X, s] = mix_gen (w, mu, Sigma, T)
%mix_gen Generates a sequence of observation for a gaussian mixture model.
% Use: [X,s] = mix_gen(w,mu,Sigma,T).
% H2M Toolbox, Version 2.0
% Olivier Ca
www.eeworm.com/read/343227/11962871
m hmm_psim.m
function s = hmm_psim (X, A, pi0, mu, Sigma, QUIET)
%hmm_psim Generates a random sequence of conditional HMM states.
% Use: s = hmm_psim(X,A,pi0,mu,Sigma) where s is a sequence of states
% of the HM