代码搜索：舒服点
找到约 10,000 项符合「舒服点」的源代码
代码结果 10,000
www.eeworm.com/read/174049/9611157
cpp dif_fft.cpp
//dif_fft.cpp
//本程序为按频率抽取法计算序列FFT（16点）
#include "iostream.h"
#include "math.h"
//定义复数类
class complex
{
public:
complex()
{real=imag=0.0;}
complex(double x)
{real=x;imag=0.0;}
co
www.eeworm.com/read/173351/9661084
cpp tamsyn.cpp
// tamsyn.cpp : 定义控制台应用程序的入口点。
//
#include "stdafx.h"
#include "CodingConv.h"
#include "sqlite3.h"
int _tmain(int argc, _TCHAR* argv[])
{
sqlite3 *db;
sqlite3_stmt *stat;
char *zErrMsg
www.eeworm.com/read/368390/9697738
m signal_analyszer.m
clc
clear
close all
data=load('test1.txt');
figure(1)
plot(data(:,1),data(:,2),'r',data(:,1),data(:,3),'b');
legend('信号1','信号2');
grid
%求付利叶变换
frequency=1000*(0:512)/1024; % 实际频率点
fftdata
www.eeworm.com/read/171074/9772623
m ex031600.m
% 第三章: 例 3.16:
%
b = [0.0181, 0.0543, 0.0543, 0.0181];
a = [1.0000, -1.7600, 1.1829, -0.2781];
m = 0:length(b)-1; l = 0:length(a)-1;
K = 500; k = 1:1:K;
w = pi*k/K; % [0, pi] 分成501个点.
num =
www.eeworm.com/read/367084/9783328
cpp complexexample.cpp
//复数示例 ComplexExample.cpp
#include //输入输出流头文件
#include //复数类头函数
using namespace std; //名字空间
void main() // 定义控制台应用程序的入口点
{
double dcr=-3.1, dci=14.5;
complex
www.eeworm.com/read/414678/11106643
cpp 旅行商问题.cpp
#include
#include
#include
#include
#define MAXNUM 100000
#define x 0
#define y 1
int n; //图顶点数
int **Loc; //点坐标
int **G; //图的邻接矩阵
int **D; /
www.eeworm.com/read/268544/11135105
txt ev_agit_event.txt
// Auto Start Agit NPC
prontera.gat,116,72,0 script Agit_Event -1,{
OnAgitInit:
//3600*22=79200(一小时3600秒，到22点就是79200秒)
if((gettime(4)==2) && (getTimeTick(1)>=79200) && (gettimetick(1)
www.eeworm.com/read/268544/11135394
txt ev_agit_event.txt
// Auto Start Agit NPC
prontera.gat,116,72,0 script Agit_Event -1,{
OnAgitInit:
//3600*22=79200(一小时3600秒，到22点就是79200秒)
if((gettime(4)==2) && (getTimeTick(1)>=79200) && (gettimetick(1)
www.eeworm.com/read/249868/12465182
m 6-10.m
[x y z]=ellipsoid(1,2,3,5,1,10); %椭圆体数据的产生
view(3) %三维视角
surface(x,y,z)
title('椭圆体：中心点(1,2,3)，半径(5,1,10)')
www.eeworm.com/read/249868/12465374
m 14-3.m
I = checkerboard(8);
PSF = fspecial('gaussian',7,10);
%点扩散函数
V = .0001;
BlurredNoisy = imnoise(imfilter(I,PSF),'gaussian',0,V);
%加性噪声
WT = zeros(size(I));
WT(5:end-4,5:end-4) = 1;
J1 = deconvl