代码搜索：SOUT
找到约 712 项符合「SOUT」的源代码
代码结果 712
www.eeworm.com/read/465112/6966721
c synths.c
/******************************************************************
*
* SYNTHS Version 48
*
******************************************************************
*
* NOTE: There is excessive buffe
www.eeworm.com/read/463942/7172448
java copyfile.java
import java.io.*;
public class CopyFile
{public static void main(String args[])
{String sin,sout;
String infname=args[0];
String outfname=args[1];
try{File fin=new File(infname);
www.eeworm.com/read/462509/7200848
m qpsk_made.m
%*********************************************
% QPSK调制
Rb=2400; %信息速率
fc=19200; %载波速率
fs=8*19200;%采样率
T=0.005; %时间
s=randsrc(1,T*Rb,[0,1,2,3]);%信源序列
for k=1:length(s)
st(((k-1)*fs/Rb+1
www.eeworm.com/read/455164/7377061
java client.java
import java.io.DataInputStream;
import java.io.PrintStream;
import java.net.Socket;
/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
/**
*
* @au
www.eeworm.com/read/450639/7479592
c synths.c
/******************************************************************
*
* SYNTHS Version 48
*
******************************************************************
*
* NOTE: There is excessive buffe
www.eeworm.com/read/449774/7496556
java myserver.java
//源文件名：myServer.java
//在下载源程序中的文件夹：1104Socket通讯实例服务器端
import java.net.*;
import java.io.*;
public class myServer implements Runnable
{
ServerSocket server;
Socket clientSocket;
boo
www.eeworm.com/read/449504/7502983
m sem_gmmd4.m
% PURPOSE: A Monte Carlo example of using sem_gmm
% GM estimation of the spatial error model
% in a Monte Carlo experiment
%---------------------------------------------------
% USAGE: sem_gmmd4
www.eeworm.com/read/449504/7502990
m sem_gmmd3.m
% PURPOSE: A Monte Carlo comparison of sem_gmm and ML sem
% GM estimation of the spatial error model
% in a Monte Carlo experiment that compares maximum likelihood
% and GM estimation
%---------
www.eeworm.com/read/449504/7502994
m sar_mcarlo.m
% PURPOSE: A Monte Carlo comparison of GMM sem and ML sem
% estimation of the spatial error model
% in a Monte Carlo experiment that compares maximum likelihood and GMM estimation
%--------------
www.eeworm.com/read/449504/7502995
m sem_mcarlo.m
% PURPOSE: A Monte Carlo comparison of GMM sem and ML sem
% estimation of the spatial error model
% in a Monte Carlo experiment that compares maximum likelihood and GMM estimation
%--------------