vs配置SP++3.0

最近在研究信号处理的C语言算法，突然发现一个西安交大的师兄之前已经写出来了一个完整的库，同样是研究生三年，差别怎么这样大呢。

先从用轮子开始吧。

一、SP++3.0安装及测试

官网下载地址：

https://code.google.com/archive/p/tspl/downloads

将 SP++3.0 压缩包解压到某一路径下，如 D:\Program Files\SP++3.0

建立VS2010 项目，在Project->Propertiesr的VC++Directories->Include Directories
中加入D:\Program Files\SP++3.0\include

然后添加一个fft_test.cpp，进行测试

/*****************************************************************************
 *                               fft_test.cpp
 *
 * FFT test.
 *
 * Zhang Ming, 2010-09, Xi'an Jiaotong University.
 *****************************************************************************/

#include <iostream>
#include <cstdlib>
#include <vectormath.h>
#include <fft.h>

using namespace std;
using namespace splab;

typedef double  Type;
const   int     MINLEN = 1;
const   int     MAXLEN = 1000;
const   int     STEP   = 10;

int main()
{
	Vector< complex<Type> >  sn, Rk, Sk, xn;
	Vector<Type> rn, tn;

    cout << "forward transform: complex to complex." << endl;
	cout << "inverse transform: complex to complex." << endl << endl;
	cout << "signal length" << "\t" << "mean(abs((sn-xn))" << endl;
	for( int len=MINLEN; len<MAXLEN; len+=STEP )
	{
	    sn.resize(len);
	    for( int i=0; i<len; ++i )
            sn[i] = complex<Type>( rand()%10, rand()%10 );

        Sk = fftc2c( sn );
        xn = ifftc2c( Sk );
//        Sk = fft( sn );
//        xn = ifft( Sk );
        cout << "    " << len << "\t\t" << "  " << sum(abs(sn-xn))/len << endl;
	}
    cout << endl << endl;

    cout << "forward transform: real to complex ." << endl;
	cout << "inverse transform: complex to real." << endl << endl;
	cout << "signal length" << "\t" << "mean(abs((rn-tn))" << endl;
    for( int len=MINLEN; len<MAXLEN; len+=STEP )
	{
	    rn.resize(len);
	    for( int i=0; i<len; ++i )
            rn[i] = rand()%10;

        Rk = fftr2c( rn );
        tn = ifftc2r( Rk );
//        Rk = fft( rn );
//        tn = real( ifft(Rk) );
        cout << "    " << len << "\t\t" << "  " << sum(abs(rn-tn))/len << endl;
	}
	cout << endl;

	return 0;
}

　　

编译会产生错误：min,max出现在未命名空间，直接注释即可（也可在主文件添加#inlucde<algorthm>）。

之后编译成功。

二、SP++3.0测试含matlab plot代码

注意：

此处必须先加载SP++3.0\include，然后再加载Matalb\extern\inlcude，因为SP++3.0 与Matlab中都有matrix.h头文件，如果加载顺序相反，则无法通过编译；

此处配置Matlab环境，参考文章：https://www.cnblogs.com/shuqingstudy/p/10134254.html

配置完成后，测试cppmatlab_test.cpp

/*****************************************************************************
 *                             CppMatlab_test.cpp
 *
 * C++ and Matlab mixed programming testing.
 *
 * Zhang Ming, 2010-10, Xi'an Jiaotong University.
 *****************************************************************************/

#define BOUNDS_CHECK

#include <iostream>
#include <cstring>
#include <vectormath.h>
#include <matrixmath.h>
#include <wft.h>
#include "engine.h"

using namespace std;
using namespace splab;

typedef double  Type;
const   int     Lg = 128;
const   int     Ls = 1000;
const   Type    Fs = 1000;

int main()
{
    /******************************* [ signal ] ******************************/
	Vector<Type> t = linspace( Type(0), Type(Ls-1), Ls ) / Type(Fs);
	Vector<Type> s = sin( Type(400*PI) * pow(t,Type(2.0)) );

	/******************************** [ widow ] ******************************/
	t = linspace(Type(0),Type(Lg-1),Lg);
	Vector<Type> g = gauss( t, (Lg-1)/Type(2), Lg/Type(8) );

	/********************************* [ WFT ] *******************************/
	cout << "Taking windowed Fourier transform." << endl;
    Matrix< complex<Type> > coefs = wft( s, g );

	/******************************** [ IWFT ] *******************************/
	cout << "Taking inverse windowed Fourier transform." << endl;
	Vector<Type> x = iwft( coefs, g );

	cout << "The relative error is : " << "norm(s-x) / norm(s) = "
		 << norm(s-x)/norm(s) << endl << endl;

    /******************************** [ PLOT ] *******************************/
	Engine *ep  = engOpen( NULL );
	if( !ep )
	{
		cerr << "Cannot open Matlab Engine!" << endl;
		exit(1);
	}

    Matrix<Type> C = trT( abs(coefs) );
    int M = C.rows(), N = C.cols();

    // define mxArray as 1-by-1 Real Scalar
	mxArray *mFs = mxCreateDoubleMatrix( 1, 1, mxREAL );

    // define mxArray as N-by-1 Real Vector
	mxArray *ms = mxCreateDoubleMatrix( Ls, 1, mxREAL );
    mxArray *mx = mxCreateDoubleMatrix( Ls, 1, mxREAL );

	// define mxArray as N-by-M Real Matrix, BECAUSE matalb is ROW MAJOR
	// and C/C++ is COLUMN MAJOR, the row of SP++ matrix is copied as the
	// column of Matlab matrix
	mxArray *mC = mxCreateDoubleMatrix( N, M, mxREAL );

    // array copy from Scalar to mxArray.
	memcpy( mxGetPr(mFs), &Fs, sizeof(Type) );

    // array copy from Vectors to mxArray.
	memcpy( mxGetPr(ms), s, Ls*sizeof(Type) );
	memcpy( mxGetPr(mx), x, Ls*sizeof(Type) );

	// array copy from Matrix to mxArray.
	memcpy( mxGetPr(mC), C, C.size()*sizeof(Type) );

    // send command to Matlab engine
    engPutVariable( ep, "fs", mFs );
	engPutVariable( ep, "s", ms );
	engPutVariable( ep, "x", mx );
	engPutVariable( ep, "C", mC );

    // Matlab commands
	const char *mCmd =  " \
        figure('name','C++ and Matlab Mixed Programming Testing'); \
        hFN = floor(size(C,1)/2);   tN = size(C,2); \
        subplot(2,2,1); plot((0:tN-1), s); \
        axis([0,tN,min(s),max(s)]); \
        xlabel('Time (ms)', 'fontsize',12); ylabel('Amplitude', 'fontsize',12); \
        title('(a)'); \
        subplot(2,2,2); pcolor((0:tN-1),(0:hFN)'/hFN, C(1:hFN+1,:)); \
        shading interp; \
        axis([0,tN, 0,1]); \
        yt = 0 : 0.2 : 1; set(gca, 'YTick',yt); set(gca, 'YTickLabel',fs*yt/2); \
        xlabel('Time (ms)','fontsize',12); ylabel('Frequency (Hz)','fontsize',12); \
        title('(b)'); \
        subplot(2,2,3); plot((0:tN-1),x); \
        axis([0,tN,min(x),max(x)]); \
        xlabel('Time (ms)','fontsize',12); \
        ylabel('Amplitude', 'fontsize',12); \
        title('(c)'); \
        subplot(2,2,4); e=s-x; plot((0:tN-1),e); \
        axis([0,tN,min(e),max(e)]); \
        xlabel('Time (ms)','fontsize',12); \
        ylabel('Amplitude', 'fontsize',12); \
        title('(d)'); \
        ";

    // send command to Matlab engine
    engEvalString( ep, mCmd );

	// delete mxArray
	mxDestroyArray( mFs );
	mxDestroyArray( ms );
	mxDestroyArray( mx );
	mxDestroyArray( mC );
    system( "pause" );
	engClose(ep);

	return 0;
}

　输出：

项目代码缺陷：

目前VS2015环境仅仅配置了SP++库环境和Matlab环境，SP++内部使用fftw并没有配置，因此后面如果需要再进行配置。