示例#1
0
void caffe_cpu_fft<float>(const int howmany, const int n, const float* x, complex<float>* y) {
  /* FFTW plan handle */
  fftwf_plan hplan = 0;
  const float *in = x;
  fftwf_complex *out = reinterpret_cast<fftwf_complex *>(y);
  int Ni[] = {n};
  int No[] = {n/2+1};

  hplan = fftwf_plan_many_dft_r2c(1, Ni, howmany,
				  const_cast<float *>(in), Ni, 1, n,
                                  out, No, 1, n/2+1,
                                  FFTW_ESTIMATE);
  if (0 == hplan) goto failed;

  fftwf_execute(hplan);

  fftwf_destroy_plan(hplan);

 failed:

  return;
}
示例#2
0
OptFFT::OptFFT(const size_t maxDataSize)
{
   assert( maxDataSize % OVERLAPSAMPLES == 0 );

   // DOUBLE
   //m_pIn = static_cast<double*>( fftw_malloc(sizeof(double) * FRAMESIZE) );
   //m_pOut = static_cast<fftw_complex*>( fftw_malloc(sizeof(fftw_complex) * (FRAMESIZE/2 + 1)) );
	//m_p = fftw_plan_dft_r2c_1f(FRAMESIZE, m_pIn, m_pOut, FFTW_ESTIMATE); // FFTW_ESTIMATE or FFTW_MEASURE

   // FLOAT
 //  m_pIn = static_cast<float*>( fftwf_malloc(sizeof(float) * FRAMESIZE) );
 //  m_pOut = static_cast<fftwf_complex*>( fftwf_malloc(sizeof(fftwf_complex) * (FRAMESIZE/2 + 1)) );

	//// in destroyed when line executed
	//m_p = fftwf_plan_dft_r2c_1d(FRAMESIZE, m_pIn, m_pOut, FFTW_ESTIMATE); // FFTW_ESTIMATE or FFTW_MEASURE

   //-----------------------------------------------------------------

   int numSamplesPerFrame    = FRAMESIZE;
   int numSamplesPerFrameOut = FRAMESIZE/2+1;

 	m_maxFrames = static_cast<int> ( (maxDataSize - FRAMESIZE) / OVERLAPSAMPLES + 1 );

   m_pIn  = static_cast<float*> ( fftwf_malloc(sizeof(float) * (numSamplesPerFrame * m_maxFrames) ) );
   if ( !m_pIn )
   {
      ostringstream oss;
      oss << "fftwf_malloc failed on m_pIn. Trying to allocate <" 
          << sizeof(float) * (numSamplesPerFrame * m_maxFrames)
          << "> bytes";
      throw std::runtime_error(oss.str());
   }

   m_pOut = static_cast<fftwf_complex*>( fftwf_malloc(sizeof(fftwf_complex) * (numSamplesPerFrameOut* m_maxFrames) ) );
   if ( !m_pOut )
   {
      ostringstream oss;
      oss << "fftwf_malloc failed on m_pOut. Trying to allocate <" 
          << sizeof(fftwf_complex) * (numSamplesPerFrameOut* m_maxFrames)
          << "> bytes";

      throw std::runtime_error(oss.str());
   }

	// in destroyed when line executed
   m_p = fftwf_plan_many_dft_r2c(1, &numSamplesPerFrame, m_maxFrames,
                                 m_pIn, &numSamplesPerFrame, 1, numSamplesPerFrame,
                                 m_pOut, &numSamplesPerFrameOut,
                                 1, numSamplesPerFrameOut,
                                 FFTW_ESTIMATE | FFTW_DESTROY_INPUT);

   if ( !m_p )
      throw std::runtime_error ("fftwf_plan_many_dft_r2c failed");

	double base = exp( log( static_cast<double>(MAXFREQ) / static_cast<double>(MINFREQ) ) / 
                      static_cast<double>(Filter::NBANDS) 
                     );

   m_powTable.resize( Filter::NBANDS+1 );
   for ( unsigned int i = 0; i < Filter::NBANDS + 1; ++i )
      m_powTable[i] = static_cast<unsigned int>( (pow(base, static_cast<double>(i)) - 1.0) * MINCOEF );

   m_pFrames = new float*[m_maxFrames];

   if ( !m_pFrames )
   {
      ostringstream oss;
      oss << "Allocation failed on m_pFrames. Trying to allocate <" 
         << sizeof(float*) * m_maxFrames
         << "> bytes";

      throw std::runtime_error(oss.str());
   }


   for (int i = 0; i < m_maxFrames; ++i) 
   {
      m_pFrames[i] = new float[Filter::NBANDS];
      if ( !m_pFrames[i] )
         throw std::runtime_error("Allocation failed on m_pFrames");
   }

}
示例#3
0
文件: Mistpad.c 项目: 1014511134/src
int main(int argc, char* argv[])
{
    	bool verb, pow2;
    	char key[7], *mode;;
    	int n1, n2, n1padded, n2padded, num, dim, n[SF_MAX_DIM], npadded[SF_MAX_DIM], ii[SF_MAX_DIM];
	int i, j, i1, i2, index, nw, iter, niter, nthr, *pad;
    	float thr, pclip, normp;
    	float *dobs_t, *thresh, *mask;
    	fftwf_complex *mm, *dd, *dobs;
    	fftwf_plan fft1, ifft1, fftrem, ifftrem;/* execute plan for FFT and IFFT */
    	sf_file in, out, Fmask;	/* mask and I/O files*/ 

    	sf_init(argc,argv);	/* Madagascar initialization */
    	in=sf_input("in");	/* read the data to be interpolated */
    	out=sf_output("out"); 	/* output the reconstructed data */
    	Fmask=sf_input("mask");	/* read the (n-1)-D mask for n-D data */
 
    	if(!sf_getbool("verb",&verb))    	verb=false;
    	/* verbosity */
    	if(!sf_getbool("pow2",&pow2))    	pow2=false;
    	/* round up the length of each axis to be power of 2 */
    	if (!sf_getint("niter",&niter)) 	niter=100;
    	/* total number of iterations */
    	if (!sf_getfloat("pclip",&pclip)) 	pclip=10.;
    	/* starting data clip percentile (default is 10)*/
    	if ( !(mode=sf_getstring("mode")) ) 	mode = "exp";
    	/* thresholding mode: 'hard', 'soft','pthresh','exp';
	  'hard', hard thresholding;	   'soft', soft thresholding; 
	  'pthresh', generalized quasi-p;  'exp', exponential shrinkage */
    	if (pclip <=0. || pclip > 100.)	sf_error("pclip=%g should be > 0 and <= 100",pclip);
    	if (!sf_getfloat("normp",&normp)) 	normp=1.;
    	/* quasi-norm: normp<2 */
   	for (i=0; i < SF_MAX_DIM; i++) {/* dimensions */
		snprintf(key,3,"n%d",i+1);
		if (!sf_getint(key,n+i) && 
		    (NULL == in || !sf_histint(in,key,n+i))) break;
		/*( n# size of #-th axis )*/  
		sf_putint(out,key,n[i]);
    	}
    	if (0==i) sf_error("Need n1=");
    	dim=i;
    	pad=sf_intalloc (dim);
	for (i=0; i<dim; i++) pad[i]=0;
	sf_getints("pad",pad,dim); /* number of zeros to be padded for each axis */

    	n1=n[0];
    	n2=sf_leftsize(in,1);
	for (i=0; i<SF_MAX_DIM; i++) npadded[i]=1;
	npadded[0]=n1+pad[0];
	n1padded=npadded[0];
	n2padded=1;
	for (i=1; i<dim; i++){
	  npadded[i]=n[i]+pad[i];
	  if (pow2) {/* zero-padding to be power of 2 */
	    npadded[i]=nextpower2(n[i]);
	    fprintf(stderr,"n%d=%d n%dpadded=%d\n",i,n[i],i,npadded[i]);
	  }
	  n2padded*=npadded[i];
	}
	nw=npadded[0]/2+1;
	num=nw*n2padded;/* data: total number of elements in frequency domain */

    	/* allocate data and mask arrays */
	thresh=(float*)            malloc(nw*n2padded*sizeof(float));
    	dobs_t=(float*)      fftwf_malloc(n1padded*n2padded*sizeof(float));  /* time domain observation */
    	dobs=(fftwf_complex*)fftwf_malloc(nw*n2padded*sizeof(fftwf_complex));/* freq-domain observation */
    	dd=(fftwf_complex*)  fftwf_malloc(nw*n2padded*sizeof(fftwf_complex));
    	mm=(fftwf_complex*)  fftwf_malloc(nw*n2padded*sizeof(fftwf_complex));
 
    	if (NULL != sf_getstring("mask")){
		mask=sf_floatalloc(n2padded);
    	} else sf_error("mask needed!");

	/* initialize the input data and mask arrays */
	memset(dobs_t,0,n1padded*n2padded*sizeof(float));
	memset(mask,0,n2padded*sizeof(float));
	for (i=0; i<n1*n2; i+=n1){
	  sf_line2cart(dim,n,i,ii);
	  j=sf_cart2line(dim,npadded,ii);
	  sf_floatread(&dobs_t[j], n1, in);
	  sf_floatread(&mask[j/n1padded], 1, Fmask);
	}

	/* FFT for the 1st dimension and the remaining dimensions */
     	fft1=fftwf_plan_many_dft_r2c(1, &n1padded, n2padded, dobs_t, &n1padded, 1, n1padded, dobs, &n1padded, 1, nw, FFTW_MEASURE);
   	ifft1=fftwf_plan_many_dft_c2r(1, &n1padded, n2padded, dobs, &n1padded, 1, nw, dobs_t, &n1padded, 1, n1padded, FFTW_MEASURE);
	fftrem=fftwf_plan_many_dft(dim-1, &npadded[1], nw, dd, &npadded[1], nw, 1, dd, &npadded[1], nw, 1, FFTW_FORWARD, FFTW_MEASURE);
	ifftrem=fftwf_plan_many_dft(dim-1, &npadded[1], nw, dd, &npadded[1], nw, 1, dd, &npadded[1], nw, 1, FFTW_BACKWARD, FFTW_MEASURE);

	/* transform the data from time domain to frequency domain: dobs_t-->dobs */
	fftwf_execute(fft1);
	for(i=0; i<num; i++) dobs[i]/=sqrtf(n1padded);
	memset(mm,0,num*sizeof(fftwf_complex));

	/* Iterative Shrinkage-Thresholding (IST) Algorithm:
	   	mm^{k+1}=T[mm^k+A^* M^* (dobs-M A mm^k)] (M^*=M; Mdobs=dobs)
		   	=T[mm^k+A^*(dobs-M A mm^k)]; (k=0,1,...niter-1)
	   	dd^=A mm^; 
	*/
    	for(iter=0; iter<niter; iter++)
    	{
		/* dd<-- A mm^k */
		memcpy(dd, mm, num*sizeof(fftwf_complex));
		fftwf_execute(ifftrem);
		for(i=0; i<num; i++) dd[i]/=sqrtf(n2padded);

		/* apply mask: dd<--dobs-M A mm^k=dobs-M dd */
		for(i2=0; i2<n2padded; i2++)
		for(i1=0; i1<nw; i1++)
		{ 
			index=i1+nw*i2;
			dd[index]=dobs[index]-mask[i2]*dd[index];
		}

		/* mm^k += A^*(dobs-M A mm^k); dd=dobs-M A mm^k */
		fftwf_execute(fftrem);
		for(i=0; i<num; i++) mm[i]+=dd[i]/sqrtf(n2padded);		

		/* perform thresholding */
		for(i=0; i<num; i++)	thresh[i]=cabsf(mm[i]);
	   	nthr = 0.5+num*(1.-0.01*pclip);  /* round off */
	    	if (nthr < 0) nthr=0;
	    	if (nthr >= num) nthr=num-1;
		thr=sf_quantile(nthr, num, thresh);
		sf_cpthresh(mm, num, thr, normp, mode);

		if (verb) sf_warning("iteration %d;",iter+1);
    	}

	/* frequency--> time domain: dobs-->dobs_t */
	memcpy(dd, mm, num*sizeof(fftwf_complex));
	fftwf_execute(ifftrem);
	for(i=0; i<num; i++) dd[i]/=sqrtf(n2padded);
	memcpy(dobs, dd, num*sizeof(fftwf_complex));
	fftwf_execute(ifft1);
	for(i=0; i<n1padded*n2padded; i++) dobs_t[i]/=sqrtf(n1padded);
	
	for (i=0; i<n1*n2; i+=n1){
	  sf_line2cart(dim,n,i,ii);
	  j=sf_cart2line(dim,npadded,ii);
	  sf_floatwrite(&dobs_t[j],n1,out);
	}

	free(thresh);
	fftwf_free(dobs_t);
	fftwf_free(dobs);
	fftwf_free(dd);
	fftwf_free(mm);

    	exit(0);
}
示例#4
0
int main(int argc, char** argv){
	float tr[6];

	const float ZAP=32;
	const uint64_t TSIZE=18;
	const uint64_t zapE=64;
	fftwf_init_threads();
	fftwf_plan_with_nthreads(omp_get_max_threads());

	logmsg("Open file '%s'",argv[1]);
	FILE* f = fopen(argv[1],"r");

	int hdr_bytes = read_header(f);
	const uint64_t nskip = hdr_bytes;
	const uint64_t nchan = nchans;
	logmsg("Nchan=%"PRIu64", tsamp=%f",nchan,tsamp);
	mjk_rand_t *random = mjk_rand_init(12345);

	rewind(f);
	FILE* of = fopen("clean.fil","w");
	uint8_t hdr[nskip];
	fread(hdr,1,nskip,f);
	fwrite(hdr,1,nskip,of);
	const uint64_t nsamp_per_block=round(pow(2,TSIZE));

	logmsg("Tblock = %f",nsamp_per_block*tsamp);

	mjk_clock_t *t_all = init_clock();
	start_clock(t_all);

	mjk_clock_t *t_read = init_clock();
	mjk_clock_t *t_trns= init_clock();
	mjk_clock_t *t_rms = init_clock();
	mjk_clock_t *t_fft = init_clock();
	mjk_clock_t *t_spec = init_clock();

	const uint64_t bytes_per_block = nchan*nsamp_per_block;

	uint8_t *buffer = calloc(bytes_per_block,1);
	float **data = malloc_2df(nchan,nsamp_per_block);
	float **clean = malloc_2df(nchan,nsamp_per_block);
	float *bpass = calloc(nchan,sizeof(float));
	float  *ch_var=NULL;
	float  *ch_mean=NULL;
	float  *ch_fft_n=NULL;
	float  *ch_fft_p=NULL;


	logmsg("Planning FFT - this will take a long time the first time it is run!");
	start_clock(t_fft);
	FILE * wisfile;
	if(wisfile=fopen("wisdom.txt","r")){
		fftwf_import_wisdom_from_file(wisfile);
		fclose(wisfile);
	}
	const int fftX=nsamp_per_block;
	const int fftY=nchan;
	const int fftXo=nsamp_per_block/2+1;

	float *X = fftwf_malloc(sizeof(float)*fftX);

	for (uint64_t i = 0; i < nsamp_per_block ; i++){
		X[i]=i;
	}
	float *tseries = fftwf_malloc(sizeof(float)*fftX);
	float complex *fseries = fftwf_malloc(sizeof(float complex)*fftXo);
	float *pseries = fftwf_malloc(sizeof(float)*fftXo);
	uint8_t *mask = malloc(sizeof(uint8_t)*fftXo);
	fftwf_plan fft_1d = fftwf_plan_dft_r2c_1d(fftX,tseries,fseries,FFTW_MEASURE|FFTW_DESTROY_INPUT);

	complex float * fftd = fftwf_malloc(sizeof(complex float)*(fftXo*fftY));
	fftwf_plan fft_plan = fftwf_plan_many_dft_r2c(
			1,&fftX,fftY,
			data[0] ,&fftX,1,fftX,
			fftd    ,&fftXo,1,fftXo,
			FFTW_MEASURE|FFTW_PRESERVE_INPUT);
	logmsg("Planning iFFT - this will take a long time the first time it is run!");
	fftwf_plan ifft_plan = fftwf_plan_many_dft_c2r(
			1,&fftX,fftY,
			fftd ,&fftXo,1,fftXo,
			clean[0] ,&fftX,1,fftX,
			FFTW_MEASURE|FFTW_PRESERVE_INPUT);

	if(!fft_plan){
		logmsg("Error - could not do FFT plan");
		exit(2);
	}

	wisfile=fopen("wisdom.txt","w");
	fftwf_export_wisdom_to_file(wisfile);
	fclose(wisfile);
	stop_clock(t_fft);
	logmsg("T(planFFT)= %.2lfs",read_clock(t_fft));
	reset_clock(t_fft);



	float min_var=1e9;
	float max_var=0;

	float min_fft_n=1e9;
	float max_fft_n=0;


	float min_fft_p=1e9;
	float max_fft_p=0;

	float min_mean=1e9;
	float max_mean=0;
	uint64_t nblocks=0;
	uint64_t totread=0;
	while(!feof(f)){
		nblocks++;
		ch_var = realloc(ch_var,nchan*nblocks*sizeof(float));
		ch_mean = realloc(ch_mean,nchan*nblocks*sizeof(float));
		ch_fft_n = realloc(ch_fft_n,nchan*nblocks*sizeof(float));
		ch_fft_p = realloc(ch_fft_p,nchan*nblocks*sizeof(float));
		start_clock(t_read);
		uint64_t read = fread(buffer,1,bytes_per_block,f);
		stop_clock(t_read);
		if (read!=bytes_per_block){
			nblocks--;
			break;
		}
		totread+=read;
		logmsg("read=%"PRIu64" bytes. T=%fs",read,totread*tsamp/(float)nchan);
		uint64_t offset = (nblocks-1)*nchan;
		start_clock(t_trns);
		// transpose with small blocks in order to increase cache efficiency.
#define BLK 8
#pragma omp parallel for schedule(static,2) shared(buffer,data)
		for (uint64_t j = 0; j < nchan ; j+=BLK){
			for (uint64_t i = 0; i < nsamp_per_block ; i++){
				for (uint64_t k = 0; k < BLK ; k++){
					data[j+k][i] = buffer[i*nchan+j+k];
				}
			}
		}

#pragma omp parallel for shared(data)
		for (uint64_t j = 0; j < nchan ; j++){
			if(j<zapE || (nchan-j) < zapE){ 
				for (uint64_t i = 0; i < nsamp_per_block ; i++){
					data[j][i]=ZAP;
				}
			}
		}

		if(nblocks==1){
#pragma omp parallel for shared(data,bpass)
			for (uint64_t j = 0; j < nchan ; j++){
				for (uint64_t i = 0; i < nsamp_per_block ; i++){
					bpass[j]+=data[j][i];
				}
				bpass[j]/=(float)nsamp_per_block;
				bpass[j]-=ZAP;
			}
		}
#pragma omp parallel for shared(data,bpass)
		for (uint64_t j = 0; j < nchan ; j++){
			for (uint64_t i = 0; i < nsamp_per_block ; i++){
				data[j][i]-=bpass[j];
			}
		}




		stop_clock(t_trns);

		start_clock(t_rms);
#pragma omp parallel for shared(data,ch_mean,ch_var)
		for (uint64_t j = 0; j < nchan ; j++){
			float mean=0;
			for (uint64_t i = 0; i < nsamp_per_block ; i++){
				mean+=data[j][i];
			}
			mean/=(float)nsamp_per_block;
			if(mean > ZAP+5 || mean < ZAP-5){
				logmsg("ZAP ch=%"PRIu64,j);
				for (uint64_t i = 0; i < nsamp_per_block ; i++){
					data[j][i]=ZAP;
				}
			}

			float ss=0;
			float x=0;
			for (uint64_t i = 0; i < nsamp_per_block ; i++){
				x = data[j][i]-mean;
				ss+=x*x;
			}
			float var=ss/(float)nsamp_per_block;
			if (var > 0){
				for (uint64_t i = 0; i < nsamp_per_block ; i++){
					float v = (data[j][i]-mean)/sqrt(var);
					if(v > 3 || v < -3){
						data[j][i]=mjk_rand_gauss(random)*sqrt(var)+mean;
					}
				}
			}

			ch_var[offset+j] = var;
			ch_mean[offset+j] = mean;

		}
		stop_clock(t_rms);

		for (uint64_t i = 0; i < nsamp_per_block ; i++){
			tseries[i]=0;
		}

		float tmean=0;
		float tvar=0;
		float max=0;
		float min=1e99;
		//#pragma omp parallel for shared(data,tseries)
		// NOT THREAD SAFE
		for (uint64_t j = 0; j < nchan ; j++){
			tmean+=ch_mean[offset+j];
			tvar+=ch_var[offset+j];
			for (uint64_t i = 0; i < nsamp_per_block ; i++){
				tseries[i]+=data[j][i];
				if(data[j][i]>max)max=data[j][i];
				if(data[j][i]<min)min=data[j][i];
			}
		}
		float ss=0;
		float mm=0;
		for (uint64_t i = 0; i < nsamp_per_block ; i++){
			float x=tseries[i]-tmean;
			mm+=tseries[i];
			ss+=x*x;
		}
		float rvar=ss/(float)nsamp_per_block;
		logmsg("var=%g tvar=%g",ss/(float)nsamp_per_block,tvar);
		logmsg("mean=%g tmean=%g",mm/(float)nsamp_per_block,tmean);
		cpgopen("3/xs");
		cpgsvp(0.1,0.9,0.1,0.9);
		cpgswin(0,fftX,tmean-sqrt(tvar)*30,tmean+sqrt(tvar)*30);
		cpgbox("ABN",0,0,"ABN",0,0);
		cpgline(fftX,X,tseries);
		cpgsci(2);
		cpgclos();
		tr[0] = 0.0 ;
		tr[1] = 1;
		tr[2] = 0;
		tr[3] = 0.5;
		tr[4] = 0;
		tr[5] = 1;

		logmsg("max=%g min=%g",max,min);

		cpgopen("4/xs");
		cpgsvp(0.1,0.9,0.1,0.9);
		cpgswin(0,nsamp_per_block,0,nchan);
		cpgbox("ABN",0,0,"ABN",0,0);
		cpggray(*data,nsamp_per_block,nchan,1,nsamp_per_block,1,nchan,tmean/(float)nchan+sqrt(rvar/(float)nchan),tmean/(float)nchan-sqrt(rvar/(float)nchan),tr);
		cpgclos();




		start_clock(t_fft);
		fftwf_execute(fft_1d);
		fftwf_execute(fft_plan);
		stop_clock(t_fft);

		{
			float T = sqrt(fftXo*tvar)*12;
			logmsg("Zap T=%.2e",T);

			float fx[fftXo];
			float fT[fftXo];
#pragma omp parallel for shared(fseries,pseries,mask)
			for (uint64_t i = 0; i < fftXo ; i++){
				mask[i]=1;
			}
#pragma omp parallel for shared(fseries,pseries,mask)
			for (uint64_t i = 0; i < fftXo ; i++){
				pseries[i]=camp(fseries[i]);
				fx[i]=i;
				float TT = T;
				if (i>512)TT=T/2.0;
				if(i>32){
					fT[i]=TT;
					if (pseries[i] > TT) {
						mask[i]=0;
					}
				} else fT[i]=0;
			}

			uint64_t nmask=0;
			for (uint64_t i = 0; i < fftXo ; i++){
				if (mask[i]==0){
					nmask++;
				}
			}
			logmsg("masked=%d (%.2f%%)",nmask,100*nmask/(float)fftXo);
			cpgopen("1/xs");
			cpgsvp(0.1,0.9,0.1,0.9);
			cpgswin(0,fftXo,0,T*10);
			cpgbox("ABN",0,0,"ABN",0,0);
			cpgline(fftXo,fx,pseries);
			cpgsci(2);
			cpgline(fftXo,fx,fT);
			cpgclos();

		}


		//		exit(1);

		start_clock(t_spec);

		//FILE* ff=fopen("plot","w");
#pragma omp parallel for shared(fftd,ch_mean,ch_fft_n,ch_fft_p)
		for (uint64_t j = 0; j < nchan ; j++){
			float var = ch_var[offset+j];
			float m=sqrt(var*fftXo/2.0);
			float T = sqrt(var*fftXo)*3;
			uint64_t n=0;
			float p=0;
			float complex *fftch = fftd + fftXo*j;
			for(uint64_t i = 1; i < fftXo; i++){
				if (camp(fftch[i]) > T) {
					n++;
					p+=camp(fftch[i]);
				}
				//	 if(j==512)fprintf(ff,"%f ",camp(fftch[i]));
				if(mask[i]==0){
					fftch[i]=m*(mjk_rand_gauss(random) + I*mjk_rand_gauss(random)); 
				}
				//	 if(j==512)fprintf(ff,"%f\n",camp(fftch[i]));
			}
			ch_fft_n[offset+j]=n;
			ch_fft_p[offset+j]=p;
		}
		// fclose(ff);

		logmsg("iFFT");
		fftwf_execute(ifft_plan);

#pragma omp parallel for schedule(static,2) shared(buffer,clean)
		for (uint64_t j = 0; j < nchan ; j+=BLK){
			for (uint64_t i = 0; i < nsamp_per_block ; i++){
				for (uint64_t k = 0; k < BLK ; k++){
					clean[j+k][i]/=(float)fftX;
					buffer[i*nchan+j+k] = round(clean[j+k][i]);
				}
			}

			if(j==512){
				cpgopen("2/xs");
				cpgsvp(0.1,0.9,0.1,0.9);
				cpgswin(0,fftX,ch_mean[j]-sqrt(ch_var[j])*10,ch_mean[j]+sqrt(ch_var[j])*10);
				cpgbox("ABN",0,0,"ABN",0,0);
				cpgline(fftX,X,data[j]);
				cpgsci(2);
				cpgline(fftX,X,clean[j]);
				cpgclos();

			}

		}
		fwrite(buffer,1,bytes_per_block,of);


		for (uint64_t i = 0; i < nsamp_per_block ; i++){
			tseries[i]=0;
		}

		tmean=0;
		tvar=0;
		max=0;
		min=1e99;
		//#pragma omp parallel for shared(clean,tseries)
		// NOT THREAD SAFE
		for (uint64_t j = 0; j < nchan ; j++){
			tmean+=ch_mean[offset+j];
			tvar+=ch_var[offset+j];
			for (uint64_t i = 0; i < nsamp_per_block ; i++){
				tseries[i]+=clean[j][i];
				if(clean[j][i]>max)max=clean[j][i];
				if(clean[j][i]<min)min=clean[j][i];
			}
		}
		ss=0;
		mm=0;
		for (uint64_t i = 0; i < nsamp_per_block ; i++){
			float x=tseries[i]-tmean;
			mm+=tseries[i];
			ss+=x*x;
		}
		rvar=ss/(float)nsamp_per_block;
		logmsg("var=%g tvar=%g",ss/(float)nsamp_per_block,tvar);
		logmsg("mean=%g tmean=%g",mm/(float)nsamp_per_block,tmean);
		cpgopen("5/xs");
		cpgsvp(0.1,0.9,0.1,0.9);
		cpgswin(0,fftX,tmean-sqrt(tvar)*30,tmean+sqrt(tvar)*30);
		cpgbox("ABN",0,0,"ABN",0,0);
		cpgline(fftX,X,tseries);
		cpgsci(2);
		cpgclos();
		tr[0] = 0.0 ;
		tr[1] = 1;
		tr[2] = 0;
		tr[3] = 0.5;
		tr[4] = 0;
		tr[5] = 1;

		logmsg("max=%g min=%g",max,min);

		cpgopen("6/xs");
		cpgsvp(0.1,0.9,0.1,0.9);
		cpgswin(0,nsamp_per_block,0,nchan);
		cpgbox("ABN",0,0,"ABN",0,0);
		cpggray(*clean,nsamp_per_block,nchan,1,nsamp_per_block,1,nchan,tmean/(float)nchan+sqrt(rvar/(float)nchan),tmean/(float)nchan-sqrt(rvar/(float)nchan),tr);
		cpgclos();




		stop_clock(t_spec);
		for (uint64_t j = 0; j < nchan ; j++){
			float mean=ch_mean[offset+j];
			if (mean > max_mean)max_mean=mean;
			if (mean < min_mean)min_mean=mean;

			float var=ch_var[offset+j];
			if (var > max_var)max_var=var;
			if (var < min_var)min_var=var;
			float fft_n=ch_fft_n[offset+j];
			if (fft_n > max_fft_n)max_fft_n=fft_n;
			if (fft_n < min_fft_n)min_fft_n=fft_n;
			float fft_p=ch_fft_p[offset+j];
			if (fft_p > max_fft_p)max_fft_p=fft_p;
			if (fft_p < min_fft_p)min_fft_p=fft_p;

		}
	}
	stop_clock(t_all);

	fclose(of);

	logmsg("T(all)  = %.2lfs",read_clock(t_all));
	logmsg("T(read) = %.2lfs",read_clock(t_read));
	logmsg("T(trans)= %.2lfs",read_clock(t_trns));
	logmsg("T(fft)  = %.2lfs",read_clock(t_fft));
	logmsg("T(fan)  = %.2lfs",read_clock(t_spec));
	logmsg("T(rms)  = %.2lfs",read_clock(t_rms));
	logmsg("T(rest) = %.2lfs",read_clock(t_all)-read_clock(t_read)-read_clock(t_trns)-read_clock(t_rms)-read_clock(t_fft)-read_clock(t_spec));


	tr[0] = -tsamp*nsamp_per_block*0.5;
	tr[2] = tsamp*nsamp_per_block;
	tr[1] = 0;
	tr[3] = 0.5;
	tr[5] = 0;
	tr[4] = 1;




	cpgopen("1/xs");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_mean,nchan,nblocks,1,nchan,1,nblocks,max_mean,min_mean,tr);
	cpgclos();

	cpgopen("2/xs");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_var,nchan,nblocks,1,nchan,1,nblocks,max_var,min_var,tr);
	cpgclos();

	cpgopen("3/xs");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_fft_n,nchan,nblocks,1,nchan,1,nblocks,max_fft_n,min_fft_n,tr);
	cpgclos();

	cpgopen("4/xs");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_fft_p,nchan,nblocks,1,nchan,1,nblocks,max_fft_p,min_fft_p,tr);
	cpgclos();



	cpgopen("mean.ps/vcps");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_mean,nchan,nblocks,1,nchan,1,nblocks,max_mean,min_mean,tr);
	cpgclos();

	cpgopen("var.ps/vcps");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_var,nchan,nblocks,1,nchan,1,nblocks,max_var,min_var,tr);
	cpgclos();


	cpgopen("fft_n.ps/vcps");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_fft_n,nchan,nblocks,1,nchan,1,nblocks,max_fft_n,min_fft_n,tr);
	cpgclos();

	cpgopen("fft_p.ps/vcps");
	cpgsvp(0.1,0.9,0.1,0.9);
	cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
	cpgbox("ABN",600,10,"ABN",100,1);
	cpggray(ch_fft_p,nchan,nblocks,1,nchan,1,nblocks,max_fft_p,min_fft_p,tr);
	cpgclos();



	fclose(f);
	free(buffer);
	free_2df(data);

	return 0;

}
示例#5
0
/* Set up fft plans.  Need to have npol, nphase, nchan 
 * already filled in struct */
int cyclic_init_ffts(struct cyclic_work *w) {

    /* Infer lag, harmonic sizes from chan/phase */
    w->nlag = w->nchan; // Total number of lags including + and -
    w->nharm = w->nphase/2 + 1; // Only DC and positive harmonics

    /* Alloc temp arrays for planning */
    PS ps;
    CS cs;
    CC cc;
    PC pc;
    struct filter_time ft;
    struct filter_freq ff;
    struct profile_phase pp;
    struct profile_harm ph;

    ps.npol = cs.npol = cc.npol = pc.npol = w->npol;
    ps.nphase = pc.nphase = w->nphase;
    ps.nchan = cs.nchan = w->nchan;
    cs.nharm = cc.nharm = w->nharm;
    cc.nlag = pc.nlag = w->nlag;

    cyclic_alloc_ps(&ps);
    cyclic_alloc_cs(&cs);
    cyclic_alloc_cc(&cc);
    cyclic_alloc_pc(&pc);

    ft.nlag = w->nlag;
    ff.nchan = w->nchan;
    pp.nphase = w->nphase;
    ph.nharm = w->nharm;

    filter_alloc_time(&ft);
    filter_alloc_freq(&ff);
    profile_alloc_phase(&pp);
    profile_alloc_harm(&ph);

    /* FFT plans */
    int rv=0;

    /* ps2cs - r2c fft along phase (fastest) axis */
    w->ps2cs = fftwf_plan_many_dft_r2c(1, &w->nphase, w->npol*w->nchan,
            ps.data, NULL, 1, w->nphase,
            cs.data, NULL, 1, w->nharm,
            FFTW_MEASURE | FFTW_PRESERVE_INPUT);
    if (w->ps2cs == NULL) rv++; 

    /* cs2cc - c2c ifft along channel axis */
    w->cs2cc = fftwf_plan_many_dft(1, &w->nchan, w->npol*w->nharm,
            cs.data, NULL, w->nharm*w->npol, 1,
            cc.data, NULL, w->nharm*w->npol, 1,
            FFTW_BACKWARD, FFTW_MEASURE | FFTW_PRESERVE_INPUT);
    if (w->cs2cc == NULL) rv++; 
    
    /* cc2cs - c2c fft along lag axis */
    w->cc2cs = fftwf_plan_many_dft(1, &w->nlag, w->npol*w->nharm,
            cc.data, NULL, w->nharm*w->npol, 1,
            cs.data, NULL, w->nharm*w->npol, 1,
            FFTW_FORWARD, FFTW_MEASURE | FFTW_PRESERVE_INPUT);
    if (w->cc2cs == NULL) rv++; 

    /* time2freq, freq2time for filters */
    w->time2freq = fftwf_plan_dft_1d(w->nlag, ft.data, ff.data,
            FFTW_FORWARD, FFTW_MEASURE | FFTW_PRESERVE_INPUT);
    if (w->time2freq == NULL) rv++;
    w->freq2time = fftwf_plan_dft_1d(w->nchan, ff.data, ft.data,
            FFTW_BACKWARD, FFTW_MEASURE | FFTW_PRESERVE_INPUT);
    if (w->freq2time == NULL) rv++;

    /* phase2harm, harm2phase for profiles */
    w->phase2harm = fftwf_plan_dft_r2c_1d(w->nphase, pp.data, ph.data, 
            FFTW_MEASURE | FFTW_PRESERVE_INPUT);
    if (w->phase2harm == NULL) rv++;
    w->harm2phase = fftwf_plan_dft_c2r_1d(w->nphase, ph.data, pp.data, 
            FFTW_MEASURE | FFTW_PRESERVE_INPUT);
    if (w->harm2phase == NULL) rv++;

    cyclic_free_ps(&ps);
    cyclic_free_cs(&cs);
    cyclic_free_cc(&cc);
    cyclic_free_pc(&pc);

    filter_free_time(&ft);
    filter_free_freq(&ff);
    profile_free_phase(&pp);
    profile_free_harm(&ph);

    return(rv);
}
示例#6
0
int main(int argc,char *argv[]) 
{
	//this is C, so I have to declare all sorts of variables in advance
	//update, I guess it's C++ now so this is a luxury
	int i;
	int j;
	eggname[0]='\0';

	//handle the command line options
	int onindex;
    if(((onindex=handle_options(argc,argv))==-1)||(argc-onindex<0))
		{print_usage(); return -1;};
//	char *eggname=argv[onindex];
	if(eggname[0]=='\0') {
		fprintf(stderr,"no input file given, use -i option\n");
		return -1;
	}

	//open the egg
	/*
	struct egg current;
	mBreakEgg(eggname,&current);
	mParseEggHeader(&current);
	sampling_rate_mhz=current.data->sample_rate;
	*/
// 	Monarch *egg=Monarch::OpenForReading(eggname);
//	Monarch *egg=Monarch::Open(std::string(eggname),ReadMode);
	const Monarch *egg=Monarch::OpenForReading(std::string(eggname));
	egg->ReadHeader();
	const MonarchHeader *eggheader=egg->GetHeader();
	const MonarchRecord *event;
	sampling_rate_mhz=eggheader->GetAcquisitionRate();


//	printf("record size: %d\n",eggheader->GetRecordSize());
	//decide the optimal size for ffts and allocate memory
	if(eggheader->GetRecordSize()<(unsigned int)fft_size) {
//	if(current.data->record_size<fft_size) {
		fprintf(stderr,"fft size larger than record size.  make fft size smaller. aborting");
		return -1;
	}
	//nffts_per_event=current.data->record_size/fft_size;
	nffts_per_event=eggheader->GetRecordSize()/fft_size;
	fft_output_size=fft_size/2+1;
	//fft_input=fftwf_alloc_real(fft_size*nffts_per_event);
	fft_input=(float*)fftwf_malloc(sizeof(float)*nffts_per_event*fft_size);
	//fft_output=fftwf_alloc_complex(fft_size*nffts_per_event);
	fft_output=(fftwf_complex*)fftwf_malloc(sizeof(fftwf_complex)*fft_output_size*nffts_per_event);
	output_powerspectrum=(double*)malloc(sizeof(double)*fft_output_size);
	for(i=0;i<fft_output_size;i++) output_powerspectrum[i]=0;

	//create the fft plan
	fft_plan=fftwf_plan_many_dft_r2c(1,&fft_size,nffts_per_event,fft_input,NULL,1,fft_size,fft_output,NULL,1,fft_output_size,FFTW_ESTIMATE);

	//perform ffts
	//int on_event=0;
	int nffts_so_far=0;
	//while((mHatchNextEvent(&current)!=1)&&(on_event<=max_number_of_events)) {
	//while((event=egg->GetNextEvent())!=NULL&&(on_event<=max_number_of_events)) {
	while(egg->ReadRecord()) {
		if(on_channel==1)
			event=egg->GetRecordSeparateOne();
		else 
			event=egg->GetRecordSeparateTwo();
		if(event==NULL)  {
			fprintf(stderr,"ERROR: event was null.  aborting\n");
			return -1;
			}
		//convert data to floats
		//for(i=0;i<current.data->record_size;i++)
		for(i=0;i<eggheader->GetRecordSize();i++)
			//fft_input[i]=(float)(current.data->record[i])-128.0;
			fft_input[i]=(float)(event->fData[i])-128.0;
		//perform the ffts
		fftwf_execute(fft_plan);
		//pack in to power spectrum
		int on_pt=0;
		for(i=0;i<nffts_per_event;i++)
		for(j=0;j<fft_output_size;j++) {
			output_powerspectrum[j]+=fft_output[on_pt][0]*fft_output[on_pt][0]+fft_output[on_pt][1]*fft_output[on_pt][1];
			on_pt++;
		}
		nffts_so_far+=nffts_per_event;
	}
	//normalize to power in milliwatts
// each sample * 0.5 (volts fullscale)/255 (levels) /(sqrt(fftlength)
// power *2 (positive and negative freqs) *1000 mW/W / naverages

	//1000 (milliwatts/watt) * 0.5 (volts fullscale)/256 (levels) / (sqrt(fft_length)*(number of averages) / 50 ohms
	double normalization=2.0*(1000.0*0.5*0.5/(256.0*256.0))*(1.0/(((double)fft_size*fft_size)*((double)nffts_so_far)))/50.0;
	for(i=0;i<fft_output_size;i++) 
		output_powerspectrum[i]*=normalization;

	//print out result
	if(format=='j') { //ASCII output, JSON
		printf("{ \"sampling_rate\": %d , ",sampling_rate_mhz);
		printf("\"data\": [");
		for(i=0;i<fft_output_size;i++) {
			if(i!=0) printf(",");
			printf("%g",output_powerspectrum[i]);
		} 
		printf("] }");
	} else if(format=='a') { 
		for(i=0;i<fft_output_size;i++)
			printf("%g %g\n",sampling_rate_mhz*((double)i)/((double)(2*fft_output_size)),output_powerspectrum[i]);
	} else { //binary
		fwrite(output_powerspectrum,sizeof(double),fft_output_size,stdout);
	}

	//clean up
	egg->Close();
	fftwf_destroy_plan(fft_plan);
	fftwf_free(fft_input);
	fftwf_free(fft_output);
	free(output_powerspectrum);
	//mCleanUp(&current);
	return 0;
}