代码搜索:complex
找到约 10,000 项符合「complex」的源代码
代码结果 10,000
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h fretrans.h
// FreTrans.h
#ifndef _INC_FreTransAPI
#define _INC_FreTransAPI
#include
using namespace std;
// 函数原型
VOID WINAPI FFT(complex * TD, complex * FD, int r);
VOID
www.eeworm.com/read/397799/8021303
c sspropc.c
/* File: sspropc.c
* Author: Thomas E. Murphy (tem@umd.edu)
* Created: 1/17/2001
* Modified: 2/5/2006
* Version: 3.0
* Description: This file solves
www.eeworm.com/read/196879/8052496
h frameconversion.h
#include "def.h"
/************************************************************************/
/* Prototypes of the different used fonctions for the motor's control */
/*****************************
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cpp fretrans.cpp
#include "stdafx.h"
#include "GlobalApi.h"
#include "Cdib.h"
#include
#include
#include
using namespace std;
// FOURBYTES就是用来计算离4最近的整倍数
#define FOURBYTES(bits
www.eeworm.com/read/145525/12717073
c maryuwa.c
#include
#include
#include
#include "msp.h"
void maryuwa(complex x[],complex a[],complex r[],int n,int ip,
float *ep,int *ierror)
{
/*-----------------------------
www.eeworm.com/read/331439/12828952
m dft_axis.m
function A = dft_axis(RC)
% Private function to supply a default quaternion Fourier transform axis,
% real or complex depending on the (logical) parameter value. 1 indicates
% real, 0 complex.
% Copy
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h transform.h
//Transform.h 数学变换头文件
// Ver 1.0.0.0
// 版权所有(C) 何渝, 2002
// 最后修改: 2002.5.31.
#ifndef _TRANSFORM_H //避免多次编译
#define _TRANSFORM_H
#include //模板类输入输出流标准头文件
#include
www.eeworm.com/read/244597/12854621
cpp frenel.cpp
#include
#include
#include
#include "nr.h"
using namespace std;
void NR::frenel(const DP x, complex &cs)
{
const int MAXIT=100;
const DP EPS=numeric_limits
www.eeworm.com/read/244597/12854696
cpp cisi.cpp
#include
#include
#include
#include "nr.h"
using namespace std;
void NR::cisi(const DP x, complex &cs)
{
const int MAXIT=100;
const DP EULER=0.57721566490153
www.eeworm.com/read/330869/12863389
m add_noise.m
function y = add_noise(x,std,rc)
% add_noise -- add white, guassian noise to a signal
%
% Usage
% y = add_noise(x, std, rc)
%
% Inputs
% x signal
% std standard deviation of the nois