代码搜索：Difference
找到约 3,389 项符合「Difference」的源代码
代码结果 3,389
www.eeworm.com/read/140582/5786904
txt description.txt
This test brings up a standard OE gateway, (east) as well as a "road warrior"
living on a different network.
The road warrior has to guess it's ID, and it will conclude on a forward
iOE TXT value. T
www.eeworm.com/read/140582/5786925
txt description.txt
This test brings up a standard OE gateway, (east) as well as a "road warrior"
living on a different network.
The road warrior has to guess it's ID, and it will conclude on a forward
iOE TXT value. T
www.eeworm.com/read/139870/5796698
java tsclerkhandler.java
package JACE.netsvcs.Time;
import java.io.*;
import java.net.*;
import JACE.OS.*;
import JACE.Connection.*;
import JACE.ASX.*;
/**
* Requests a time update from a time server. This is u
www.eeworm.com/read/133885/5898982
java plateau.java
/**
* First attempt to look at difference signal. LocalMax and Min will
* proboably be rewritten after this.
*
* @author Waleed Kadous
* @version $Id: Plateau.java,v 1.1.1.1 2002/06/28 07:
www.eeworm.com/read/101082/6243431
1e l2.1e
#print
Is there any difference between
printf("%s", s);
and
printf(s);
Answer yes or no.
#copyin
#user
#uncopyin
#match yes
#fail
Consider the string "50% of the answers are wrong."
#log
#ne
www.eeworm.com/read/291067/6303015
m tdbt.m
function tdbt(testnr)
% [ ]Ok *** TEST ***
% of: DBT (A Matlab Toolbox for Digital Beamforming).
% Sign: Datum:
%
% *****************************************************************************
%
www.eeworm.com/read/156871/6324019
m mmderiv.m
function z=mmderiv(x,y)
%MMDERIV Compute Derivative Using Weighted Central Differences.
% MMDERIV(X,Y) computes the derivative of the function y=f(x) given the
% data in X and Y. X must be a vector, b
www.eeworm.com/read/469094/6355682
mc events.mc
MessageIdTypedef=DWORD
MessageID=0x1
SymbolicName=MSG_RESULTS_OK
Language=English
Machine %1 seems to be CLEAR, biggest test difference = %2. Tests with
difference greater then zero:
%3
.
www.eeworm.com/read/489598/6466418
m pfilter.m
function [wP,xP] = Pfilter(wP,xP,snr,rx,G);
%This is the filtering routine
global Npart nTx nRx
Nv = nTx*10^(-snr/10);%Get noise variance
con = sqrt(2*pi*Nv); %constant for scaling
for r =
www.eeworm.com/read/488269/6491127
m p2_3.m
% Program P2_3
% Generate the input sequences
clf;
n = 0:40;
a = 2;b = -3;
x1 = cos(2*pi*0.1*n);
x2 = cos(2*pi*0.4*n);
x3 = cos(2*pi*0.1*(n-1));
x4 = cos(2*pi*0.4*(n-1));
x = a*x1 + b*x2;
y1