代码搜索:complex
找到约 10,000 项符合「complex」的源代码
代码结果 10,000
www.eeworm.com/read/291752/8399046
h filter_resp.h
//
// File = filter_response.h
//
#ifndef _FILTER_RESPONSE_H_
#define _FILTER_RESPONSE_H_
#include
#include "floatsig.h"
#include "psmodel.h"
typedef enum {
LOWPASS_FILT_CO
www.eeworm.com/read/291752/8399559
cpp filter_proto.cpp
//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
//
// File = filter_proto.cpp
//
// Base class for all analog protoypes
//
#include
#include "misdefs.h"
#include
www.eeworm.com/read/291235/8433253
cpp zrhqr.cpp
#include
#include "nr.h"
using namespace std;
void NR::zrhqr(Vec_I_DP &a, Vec_O_CPLX_DP &rt)
{
int j,k;
complex x;
int m=a.size()-1;
Mat_DP hess(m,m);
for (k=0;k
www.eeworm.com/read/191079/8433985
cpp cfft.cpp
//
// spectral toolkit
// copyright (c) 2005 university corporation for atmospheric research
// licensed under the gnu general public license
//
#include "cfft.h"
using namespace spectral;
/// Com
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cpp rfft.cpp
//
// spectral toolkit
// copyright (c) 2005 university corporation for atmospheric research
// licensed under the gnu general public license
//
#include "rfft.h"
using namespace spectral;
/// Rea
www.eeworm.com/read/390102/8486207
m make_rp.m
rp.TNRdB = 10; % TNR in dB
rp.INRdB = 20; % INR in dB
rp.Nsnaps = 200;
rp.mu = 1e-9;
rp.p = 5;
rp.decay = 0;
rp.verbose = 0;
rp.mean_v = 0; % mean of complex-valued AWGN
www.eeworm.com/read/290260/8492250
h fft.h
#ifndef FFT_H
#define FFT_H
/************************************************************************/
/* 在这里定义Base3TimeFFT函数 此dll 暂时导出这样一个函数
次函数说明如下:
Complex * orign_result 【in】 输入
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cpp imagerestoreext.cpp
/*
* 运动模糊恢复类
* 冯昊
* Sep.25th,2007 整理
* 说明:
* 本类包含三种方法的运动模糊恢复功能,维纳滤波、
* 逆滤波和投影迭代法。这些方法都是根据先验信息进行
* 运动模糊恢复的。因此首先要获得点扩散函数,本类提
* 供了计算点扩散函数的方法。
* 本类需要配合ComFourierTransform傅里叶变换类 ...
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m make_rp.m
rp.TNRdB = 10; % TNR in dB
rp.INRdB = 20; % INR in dB
rp.Nsnaps = 20;
rp.mu = 1e-8;
rp.p = 5;
rp.decay = 0;
rp.verbose = 0;
rp.mean_v = 0; % mean of complex-valued AWGN
r
www.eeworm.com/read/288304/8643826
m make_rp.m
rp.TNRdB = 10; % TNR in dB
rp.INRdB = 20; % INR in dB
rp.Nsnaps = 200;
rp.mu = 1e-8;
rp.p = 5;
rp.decay = 0;
rp.verbose = 0;
rp.mean_v = 0; % mean of complex-valued AWGN