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-rw-r--r--libtoolame-dab/psycho_2.c438
1 files changed, 438 insertions, 0 deletions
diff --git a/libtoolame-dab/psycho_2.c b/libtoolame-dab/psycho_2.c
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+++ b/libtoolame-dab/psycho_2.c
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+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+#include <string.h>
+#include "common.h"
+#include "encoder.h"
+#include "mem.h"
+#include "fft.h"
+#include "psycho_2.h"
+
+/* The static variables "r", "phi_sav", "new", "old" and "oldest" have */
+/* to be remembered for the unpredictability measure. For "r" and */
+/* "phi_sav", the first index from the left is the channel select and */
+/* the second index is the "age" of the data. */
+
+static int new = 0, old = 1, oldest = 0;
+static int init = 0, flush, sync_flush, syncsize, sfreq_idx;
+
+/* The following static variables are constants. */
+
+static double nmt = 5.5;
+
+static FLOAT crit_band[27] = { 0, 100, 200, 300, 400, 510, 630, 770,
+ 920, 1080, 1270, 1480, 1720, 2000, 2320, 2700,
+ 3150, 3700, 4400, 5300, 6400, 7700, 9500, 12000,
+ 15500, 25000, 30000
+};
+
+static FLOAT bmax[27] = { 20.0, 20.0, 20.0, 20.0, 20.0, 17.0, 15.0,
+ 10.0, 7.0, 4.4, 4.5, 4.5, 4.5, 4.5,
+ 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5,
+ 4.5, 4.5, 4.5, 3.5, 3.5, 3.5
+};
+
+static FLOAT *grouped_c, *grouped_e, *nb, *cb, *ecb, *bc;
+static FLOAT *wsamp_r, *phi, *energy;
+static FLOAT *c, *fthr;
+static F32 *snrtmp;
+
+static int *numlines;
+static int *partition;
+static FLOAT *cbval, *rnorm;
+static FLOAT *window;
+static FLOAT *absthr;
+static double *tmn;
+static FCB *s;
+static FHBLK *lthr;
+static F2HBLK *r, *phi_sav;
+
+void psycho_2_init (double sfreq);
+
+void psycho_2 (short int *buffer, short int savebuf[1056], int chn,
+ double *smr, double sfreq, options *glopts)
+/* to match prototype : FLOAT args are always double */
+{
+ unsigned int i, j, k;
+ FLOAT r_prime, phi_prime;
+ FLOAT minthres, sum_energy;
+ double tb, temp1, temp2, temp3;
+
+ if (init == 0) {
+ psycho_2_init (sfreq);
+ init++;
+ }
+
+ for (i = 0; i < 2; i++) {
+ /*****************************************************************************
+ * Net offset is 480 samples (1056-576) for layer 2; this is because one must*
+ * stagger input data by 256 samples to synchronize psychoacoustic model with*
+ * filter bank outputs, then stagger so that center of 1024 FFT window lines *
+ * up with center of 576 "new" audio samples. *
+
+ flush = 384*3.0/2.0; = 576
+ syncsize = 1056;
+ sync_flush = syncsize - flush; 480
+ BLKSIZE = 1024
+ *****************************************************************************/
+
+ for (j = 0; j < 480; j++) {
+ savebuf[j] = savebuf[j + flush];
+ wsamp_r[j] = window[j] * ((FLOAT) savebuf[j]);
+ }
+ for (; j < 1024; j++) {
+ savebuf[j] = *buffer++;
+ wsamp_r[j] = window[j] * ((FLOAT) savebuf[j]);
+ }
+ for (; j < 1056; j++)
+ savebuf[j] = *buffer++;
+
+ /**Compute FFT****************************************************************/
+ psycho_2_fft (wsamp_r, energy, phi);
+ /*****************************************************************************
+ * calculate the unpredictability measure, given energy[f] and phi[f] *
+ *****************************************************************************/
+ /*only update data "age" pointers after you are done with both channels */
+ /*for layer 1 computations, for the layer 2 double computations, the pointers */
+ /*are reset automatically on the second pass */
+ {
+ if (new == 0) {
+ new = 1;
+ oldest = 1;
+ } else {
+ new = 0;
+ oldest = 0;
+ }
+ if (old == 0)
+ old = 1;
+ else
+ old = 0;
+ }
+ for (j = 0; j < HBLKSIZE; j++) {
+ r_prime = 2.0 * r[chn][old][j] - r[chn][oldest][j];
+ phi_prime = 2.0 * phi_sav[chn][old][j] - phi_sav[chn][oldest][j];
+ r[chn][new][j] = sqrt ((double) energy[j]);
+ phi_sav[chn][new][j] = phi[j];
+#ifdef SINCOS
+ {
+ // 12% faster
+ //#warning "Use __sincos"
+ double sphi, cphi, sprime, cprime;
+ __sincos ((double) phi[j], &sphi, &cphi);
+ __sincos ((double) phi_prime, &sprime, &cprime);
+ temp1 = r[chn][new][j] * cphi - r_prime * cprime;
+ temp2 = r[chn][new][j] * sphi - r_prime * sprime;
+ }
+#else
+ temp1 =
+ r[chn][new][j] * cos ((double) phi[j]) -
+ r_prime * cos ((double) phi_prime);
+ temp2 =
+ r[chn][new][j] * sin ((double) phi[j]) -
+ r_prime * sin ((double) phi_prime);
+#endif
+
+ temp3 = r[chn][new][j] + fabs ((double) r_prime);
+ if (temp3 != 0)
+ c[j] = sqrt (temp1 * temp1 + temp2 * temp2) / temp3;
+ else
+ c[j] = 0;
+ }
+ /*****************************************************************************
+ * Calculate the grouped, energy-weighted, unpredictability measure, *
+ * grouped_c[], and the grouped energy. grouped_e[] *
+ *****************************************************************************/
+
+ for (j = 1; j < CBANDS; j++) {
+ grouped_e[j] = 0;
+ grouped_c[j] = 0;
+ }
+ grouped_e[0] = energy[0];
+ grouped_c[0] = energy[0] * c[0];
+ for (j = 1; j < HBLKSIZE; j++) {
+ grouped_e[partition[j]] += energy[j];
+ grouped_c[partition[j]] += energy[j] * c[j];
+ }
+
+ /*****************************************************************************
+ * convolve the grouped energy-weighted unpredictability measure *
+ * and the grouped energy with the spreading function, s[j][k] *
+ *****************************************************************************/
+ for (j = 0; j < CBANDS; j++) {
+ ecb[j] = 0;
+ cb[j] = 0;
+ for (k = 0; k < CBANDS; k++) {
+ if (s[j][k] != 0.0) {
+ ecb[j] += s[j][k] * grouped_e[k];
+ cb[j] += s[j][k] * grouped_c[k];
+ }
+ }
+ if (ecb[j] != 0)
+ cb[j] = cb[j] / ecb[j];
+ else
+ cb[j] = 0;
+ }
+
+ /*****************************************************************************
+ * Calculate the required SNR for each of the frequency partitions *
+ * this whole section can be accomplished by a table lookup *
+ *****************************************************************************/
+ for (j = 0; j < CBANDS; j++) {
+ if (cb[j] < .05)
+ cb[j] = 0.05;
+ else if (cb[j] > .5)
+ cb[j] = 0.5;
+ tb = -0.434294482 * log ((double) cb[j]) - 0.301029996;
+ cb[j] = tb;
+ bc[j] = tmn[j] * tb + nmt * (1.0 - tb);
+ k = cbval[j] + 0.5;
+ bc[j] = (bc[j] > bmax[k]) ? bc[j] : bmax[k];
+ bc[j] = exp ((double) -bc[j] * LN_TO_LOG10);
+ }
+
+ /*****************************************************************************
+ * Calculate the permissible noise energy level in each of the frequency *
+ * partitions. Include absolute threshold and pre-echo controls *
+ * this whole section can be accomplished by a table lookup *
+ *****************************************************************************/
+ for (j = 0; j < CBANDS; j++)
+ if (rnorm[j] && numlines[j])
+ nb[j] = ecb[j] * bc[j] / (rnorm[j] * numlines[j]);
+ else
+ nb[j] = 0;
+ for (j = 0; j < HBLKSIZE; j++) {
+ /*temp1 is the preliminary threshold */
+ temp1 = nb[partition[j]];
+ temp1 = (temp1 > absthr[j]) ? temp1 : absthr[j];
+#ifdef LAYERI
+ /*do not use pre-echo control for layer 2 because it may do bad things to the */
+ /* MUSICAM bit allocation algorithm */
+ if (lay == 1) {
+ fthr[j] = (temp1 < lthr[chn][j]) ? temp1 : lthr[chn][j];
+ temp2 = temp1 * 0.00316;
+ fthr[j] = (temp2 > fthr[j]) ? temp2 : fthr[j];
+ } else
+ fthr[j] = temp1;
+ lthr[chn][j] = LXMIN * temp1;
+#else
+ fthr[j] = temp1;
+ lthr[chn][j] = LXMIN * temp1;
+#endif
+ }
+
+ /*****************************************************************************
+ * Translate the 512 threshold values to the 32 filter bands of the coder *
+ *****************************************************************************/
+ for (j = 0; j < 193; j += 16) {
+ minthres = 60802371420160.0;
+ sum_energy = 0.0;
+ for (k = 0; k < 17; k++) {
+ if (minthres > fthr[j + k])
+ minthres = fthr[j + k];
+ sum_energy += energy[j + k];
+ }
+ snrtmp[i][j / 16] = sum_energy / (minthres * 17.0);
+ snrtmp[i][j / 16] = 4.342944819 * log ((double) snrtmp[i][j / 16]);
+ }
+ for (j = 208; j < (HBLKSIZE - 1); j += 16) {
+ minthres = 0.0;
+ sum_energy = 0.0;
+ for (k = 0; k < 17; k++) {
+ minthres += fthr[j + k];
+ sum_energy += energy[j + k];
+ }
+ snrtmp[i][j / 16] = sum_energy / minthres;
+ snrtmp[i][j / 16] = 4.342944819 * log ((double) snrtmp[i][j / 16]);
+ }
+ /*****************************************************************************
+ * End of Psychoacuostic calculation loop *
+ *****************************************************************************/
+ }
+ for (i = 0; i < 32; i++) {
+ smr[i] = (snrtmp[0][i] > snrtmp[1][i]) ? snrtmp[0][i] : snrtmp[1][i];
+ }
+}
+
+/********************************
+ * init psycho model 2
+ ********************************/
+void psycho_2_init (double sfreq)
+{
+ int i, j;
+ FLOAT freq_mult;
+ double temp1, temp2, temp3;
+ FLOAT bval_lo;
+
+ grouped_c = (FLOAT *) mem_alloc (sizeof (FCB), "grouped_c");
+ grouped_e = (FLOAT *) mem_alloc (sizeof (FCB), "grouped_e");
+ nb = (FLOAT *) mem_alloc (sizeof (FCB), "nb");
+ cb = (FLOAT *) mem_alloc (sizeof (FCB), "cb");
+ ecb = (FLOAT *) mem_alloc (sizeof (FCB), "ecb");
+ bc = (FLOAT *) mem_alloc (sizeof (FCB), "bc");
+ wsamp_r = (FLOAT *) mem_alloc (sizeof (FBLK), "wsamp_r");
+ phi = (FLOAT *) mem_alloc (sizeof (FBLK), "phi");
+ energy = (FLOAT *) mem_alloc (sizeof (FBLK), "energy");
+ c = (FLOAT *) mem_alloc (sizeof (FHBLK), "c");
+ fthr = (FLOAT *) mem_alloc (sizeof (FHBLK), "fthr");
+ snrtmp = (F32 *) mem_alloc (sizeof (F2_32), "snrtmp");
+
+ numlines = (int *) mem_alloc (sizeof (ICB), "numlines");
+ partition = (int *) mem_alloc (sizeof (IHBLK), "partition");
+ cbval = (FLOAT *) mem_alloc (sizeof (FCB), "cbval");
+ rnorm = (FLOAT *) mem_alloc (sizeof (FCB), "rnorm");
+ window = (FLOAT *) mem_alloc (sizeof (FBLK), "window");
+ absthr = (FLOAT *) mem_alloc (sizeof (FHBLK), "absthr");
+ tmn = (double *) mem_alloc (sizeof (DCB), "tmn");
+ s = (FCB *) mem_alloc (sizeof (FCBCB), "s");
+ lthr = (FHBLK *) mem_alloc (sizeof (F2HBLK), "lthr");
+ r = (F2HBLK *) mem_alloc (sizeof (F22HBLK), "r");
+ phi_sav = (F2HBLK *) mem_alloc (sizeof (F22HBLK), "phi_sav");
+
+ i = sfreq + 0.5;
+ switch (i) {
+ case 32000:
+ case 16000:
+ sfreq_idx = 0;
+ break;
+ case 44100:
+ case 22050:
+ sfreq_idx = 1;
+ break;
+ case 48000:
+ case 24000:
+ sfreq_idx = 2;
+ break;
+ default:
+ fprintf (stderr, "error, invalid sampling frequency: %d Hz\n", i);
+ exit (-1);
+ }
+ fprintf (stderr, "absthr[][] sampling frequency index: %d\n", sfreq_idx);
+ psycho_2_read_absthr (absthr, sfreq_idx);
+
+ flush = 384 * 3.0 / 2.0;
+ syncsize = 1056;
+ sync_flush = syncsize - flush;
+
+ /* calculate HANN window coefficients */
+ /* for(i=0;i<BLKSIZE;i++)window[i]=0.5*(1-cos(2.0*PI*i/(BLKSIZE-1.0))); */
+ for (i = 0; i < BLKSIZE; i++)
+ window[i] = 0.5 * (1 - cos (2.0 * PI * (i - 0.5) / BLKSIZE));
+ /* reset states used in unpredictability measure */
+ for (i = 0; i < HBLKSIZE; i++) {
+ r[0][0][i] = r[1][0][i] = r[0][1][i] = r[1][1][i] = 0;
+ phi_sav[0][0][i] = phi_sav[1][0][i] = 0;
+ phi_sav[0][1][i] = phi_sav[1][1][i] = 0;
+ lthr[0][i] = 60802371420160.0;
+ lthr[1][i] = 60802371420160.0;
+ }
+ /*****************************************************************************
+ * Initialization: Compute the following constants for use later *
+ * partition[HBLKSIZE] = the partition number associated with each *
+ * frequency line *
+ * cbval[CBANDS] = the center (average) bark value of each *
+ * partition *
+ * numlines[CBANDS] = the number of frequency lines in each partition *
+ * tmn[CBANDS] = tone masking noise *
+ *****************************************************************************/
+ /* compute fft frequency multiplicand */
+ freq_mult = sfreq / BLKSIZE;
+
+ /* calculate fft frequency, then bval of each line (use fthr[] as tmp storage) */
+ for (i = 0; i < HBLKSIZE; i++) {
+ temp1 = i * freq_mult;
+ j = 1;
+ while (temp1 > crit_band[j])
+ j++;
+ fthr[i] =
+ j - 1 + (temp1 - crit_band[j - 1]) / (crit_band[j] - crit_band[j - 1]);
+ }
+ partition[0] = 0;
+ /* temp2 is the counter of the number of frequency lines in each partition */
+ temp2 = 1;
+ cbval[0] = fthr[0];
+ bval_lo = fthr[0];
+ for (i = 1; i < HBLKSIZE; i++) {
+ if ((fthr[i] - bval_lo) > 0.33) {
+ partition[i] = partition[i - 1] + 1;
+ cbval[partition[i - 1]] = cbval[partition[i - 1]] / temp2;
+ cbval[partition[i]] = fthr[i];
+ bval_lo = fthr[i];
+ numlines[partition[i - 1]] = temp2;
+ temp2 = 1;
+ } else {
+ partition[i] = partition[i - 1];
+ cbval[partition[i]] += fthr[i];
+ temp2++;
+ }
+ }
+ numlines[partition[i - 1]] = temp2;
+ cbval[partition[i - 1]] = cbval[partition[i - 1]] / temp2;
+
+ /************************************************************************
+ * Now compute the spreading function, s[j][i], the value of the spread-*
+ * ing function, centered at band j, for band i, store for later use *
+ ************************************************************************/
+ for (j = 0; j < CBANDS; j++) {
+ for (i = 0; i < CBANDS; i++) {
+ temp1 = (cbval[i] - cbval[j]) * 1.05;
+ if (temp1 >= 0.5 && temp1 <= 2.5) {
+ temp2 = temp1 - 0.5;
+ temp2 = 8.0 * (temp2 * temp2 - 2.0 * temp2);
+ } else
+ temp2 = 0;
+ temp1 += 0.474;
+ temp3 =
+ 15.811389 + 7.5 * temp1 -
+ 17.5 * sqrt ((double) (1.0 + temp1 * temp1));
+ if (temp3 <= -100)
+ s[i][j] = 0;
+ else {
+ temp3 = (temp2 + temp3) * LN_TO_LOG10;
+ s[i][j] = exp (temp3);
+ }
+ }
+ }
+
+ /* Calculate Tone Masking Noise values */
+ for (j = 0; j < CBANDS; j++) {
+ temp1 = 15.5 + cbval[j];
+ tmn[j] = (temp1 > 24.5) ? temp1 : 24.5;
+ /* Calculate normalization factors for the net spreading functions */
+ rnorm[j] = 0;
+ for (i = 0; i < CBANDS; i++) {
+ rnorm[j] += s[j][i];
+ }
+ }
+
+ if (glopts.verbosity > 10){
+ /* Dump All the Values to STDOUT and exit */
+ int wlow, whigh=0;
+ fprintf(stdout,"psy model 2 init\n");
+ fprintf(stdout,"index \tnlines \twlow \twhigh \tbval \tminval \ttmn\n");
+ for (i=0;i<CBANDS;i++) {
+ wlow = whigh+1;
+ whigh = wlow + numlines[i] - 1;
+ fprintf(stdout,"%i \t%i \t%i \t%i \t%5.2f \t%4.2f \t%4.2f\n",i+1, numlines[i],wlow, whigh, cbval[i],bmax[(int)(cbval[i]+0.5)],tmn[i]);
+ }
+ exit(0);
+ }
+
+}
+
+void psycho_2_read_absthr (absthr, table)
+ FLOAT *absthr;
+ int table;
+{
+ int j;
+#include "absthr.h"
+
+ if ((table < 0) || (table > 3)) {
+ printf ("internal error: wrong table number");
+ return;
+ }
+
+ for (j = 0; j < HBLKSIZE; j++) {
+ absthr[j] = absthr_table[table][j];
+ }
+ return;
+}