grd.c

来自「Time-Frequency Toolbox,其中包含很常用的MATLAB程序」· C语言 代码 · 共 458 行 · 第 1/2 页

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/* EXISTS AN INTERFACE PROGRAM TO MATLAB : CTFRGRD.C                          * *============================================================================* * Name of the function : grd.c (void)                                        * * Authors              : Emmanuel Roy - Manuel DAVY                          * * Date of creation     : 10 - 02 - 1999                                      * *----------------------------------------------------------------------------* * THE ALGORITHM                                                              * *                                                                            * * Given a signal to analyze in time and frequency, computes the Generalized  * * Rectangular Time-Frequency Distribution (GRD) :                            * *                                                                            * *                 //                                                         * *                 ||     2*rs            2pi rs mu                           * *     GRD(t,f) =  || ------------ sinc(------------)       .../...           * *                 || |tau |^MoverN       |tau|^MoverN                        * *                //                                                          * *                                                                            * *                                                 -j2pi f tau                * *                     x(t+mu+tau/2)x*(t+mu-tau/2)e            dmu dtau       * *                                                                            * *                                                                            * * This function is real valued. Its computation requires a real or complex   * * signal, a vector containing time instants, the number of frequency bins, a * * time smoothing window, a frequency smoothing window, the kernel width (rs) * * and the dissymetry ratio (MoverN).                                         * *                                                                            * *============================================================================* * INPUT VARIABLES                                                            * * Name                |              role                                    * * Signal              | The signal to analyze. No field modified             * *                     |                                                      * * WindowT             | Vector containing the points of the time moothing    * *                     | window                                               * * WindowT_Length      | Number of points of the time window (ODD number !)   * *                     |                                                      * * WindowF             | Vector containing the points of the frequency window * * WindowF_Length      | Number of points of the window (ODD number !)        * *                     |                                                      * * tfr                 | Matrix containing the resulting TFR (real)           * * tfr.time_instants   | positions of the smoothing window                    * * tfr.N_time          | length of '.time_instants' = number of cols.         * *                     | in the tfr matrix                                    * * tfr.N_freq          | number of frequency bins = number of rows in the tfr * *                     | matrix                                               * * tfr.is_complex      | must be set to FALSE (a GRD tfr is real-valued)      * *                     |                                                      * * rs                  | the kernel width                                     * * MoverN              | the dissymetry ratio                                 * *                     |                                                      * *----------------------------------------------------------------------------* * OUTPUT VARIABLES                                                           * * Name                |                role                                  * * tfr.real_part       | the output tfr matrix  (real_part)                   * * tfr.freq_bins       | vector of frequency bins (freqs where the tfr matrix * *                     | is computed)                                         * *----------------------------------------------------------------------------* * INTERNAL VARIABLES                                                         * * Name                |                 role                                 * *                     |                                                      * * Nfft                | Next power of two to tfr.N_freq                      * * column, row         | variables of displacement in the matrices            * * time                | local time-instant variable to compute the tfr       * *                     |                                                      * * half_WindowT_Length | half-length of the time smoothing window             * *                     |                                                      * * half_WindowF_Length | half-length of the frequency smoothing window        * * normF               | normalization factor for the frequency window        * *                     |                                                      * * GRDKernel           | variable to compute the GRD Kernel                   * * normK               | normalization factor for the Kernel                  * * index               | variable to locate position in the kernel matrix     * *                     |                                                      * * tau                 | time-lag variable                                    * * taumin              | local time-lag variable bounds. Used to take into    * * taumax              | accound the beginning and the end of the             * *                     | signal, where the window is cut                      * *                     |                                                      * * mu                  | time-smoothing variable                              * * mumin               | local time-smoothing variable bounds. Used to take   * * mumax               | into accound the beginning and the end of time       * *                     | smoothing procedure                                  * *                     |                                                      * * lacf_real           | real and imaginary parts of the local autocorrelation* * lacf_imag           | function of the signal                               * *                     |                                                      * * R1_real R1_imag     | used to compute real and imaginary parts of the time * * R2_real R2_imag     | smoothed-windowed local autocorrelation function     * *                     |                                                      * *============================================================================* * SUBROUTINES USED HERE                                                      * *----------------------------------------------------------------------------* * Name   | int idx(int i_row, int j_col, int nb_row)                         * * Action | computes the vector index for an element in a matrix given the row* *        | and column indices (i,j) and the total number of row              * * Place  | divers.c                                                          * *----------------------------------------------------------------------------* * Name   | double sinc(double x)                                             * * Action | computes the sinc function of a double number                     * * Place  | divers.c                                                          * *----------------------------------------------------------------------------* * Name   | void fft(int n, int m, double *x, double *y)                      * * Action | Computes the fft                                                  * * Place  | divers.c                                                          * *----------------------------------------------------------------------------* * Name   | int po2(int x)                                                    * * Action | Computes the next power of two of x                               * * Place  | divers.c                                                          * *============================================================================*/voidgrd (type_signal Signal,     double *WindowT, int WindowT_Length,     double *WindowF, int WindowF_Length,     double rs, double MoverN,     type_TFR tfr){  int            Nfft, column, row, time, index;  int            half_WindowT_Length, half_WindowF_Length;  int            taumin, taumax, tau;  int            mumin, mumax, mu;  double        *lacf_real, *lacf_imag;/* local autocorrelation function */  double         normK, normF;  double         R1_real, R1_imag, R2_real, R2_imag;  double        *GRDKernel; /*--------------------------------------------------------------------------*/ /*                        Test the input variables                          */ /*--------------------------------------------------------------------------*/  if (tfr.is_complex == TRUE)    {      printf ("grd.c : The tfr matrix must be real valued\n");      exit (0);    }  if (tfr.N_freq <= 0)    {      printf ("grd.c : The field tfr.N_freq is not correctly set\n");      exit (0);    }  if (tfr.N_time <= 0)    {      printf ("grd.c : The field tfr.N_time is not correctly set\n");      exit (0);    }  if (ISODD (WindowT_Length) == 0)    {      printf ("grd.c : The time-window Length must be an ODD number\n");      exit (0);    }  if (ISODD (WindowF_Length) == 0)    {      printf ("grd.c : The frequency-window Length must be an ODD number\n");      exit (0);    } /*--------------------------------------------------------------------------*/ /*                     Determines some internal constants                   */ /*--------------------------------------------------------------------------*/  half_WindowT_Length = (WindowT_Length - 1) / 2;  half_WindowF_Length = (WindowF_Length - 1) / 2;  normF = WindowF[half_WindowF_Length];  /* normalization of the frequency smoothing window */  for (row  = 0; row < WindowF_Length; row++)    {      WindowF[row] = WindowF[row] / normF;    } /*--------------------------------------------------------------------------*/ /*          Memory allocation and computation of  the kernel                */ /*--------------------------------------------------------------------------*/  GRDKernel = (double *) ALLOC (MIN (tfr.N_freq, half_WindowF_Length) *				WindowT_Length, sizeof (double));  /* maximum value of the delay in order to take the edges into account */  taumax = MIN (tfr.N_freq, half_WindowF_Length);    for (tau = 1; tau <= taumax; tau++)    {      for (mu = -half_WindowT_Length; mu <= +half_WindowT_Length; mu++)	{	  GRDKernel[idx (tau - 1, half_WindowT_Length + mu, taumax)] 	    = sinc (-2.0 * rs * mu * 1.0 / powof(2.0 * tau, MoverN))	    * WindowT[half_WindowT_Length + mu];	  	}    }   /*--------------------------------------------------------------------------*/ /*              creation of the vector of frequency bins  (output)          */ /*--------------------------------------------------------------------------*/  Nfft = po2 (tfr.N_freq);    for (row = 0; row < tfr.N_freq; row++)    {      tfr.freq_bins[row] = (double) (0.5 *row) / tfr.N_freq;    } /*--------------------------------------------------------------------------*/ /*     memory allocation and init. of the local autocorrelation fuction     */ /*--------------------------------------------------------------------------*/  lacf_real = (double *) ALLOC (tfr.N_freq, sizeof (double));  lacf_imag = (double *) ALLOC (tfr.N_freq, sizeof (double));  /* initialization of the intermediary vectors */  for (row = 0; row < tfr.N_freq; row++)    {      lacf_real[row] = 0.0;      lacf_imag[row] = 0.0;    }   /*--------------------------------------------------------------------------*/ /*       computation of the fft for the local autocorrelation function      */ /*--------------------------------------------------------------------------*/  for (column = 0; column < tfr.N_time; column++)    {      /* time instants of interest to compute the tfr */      time = ((int) tfr.time_instants[column]) - 1;            /* maximum value of the delay in order to take the edges	 into account */      taumax = MIN ((time + half_WindowT_Length), 		    (Signal.length - time - 1 + half_WindowT_Length));

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