freeswitch/libs/libg722_1/src/sam2coef.c

174 lines
5.3 KiB
C

/*
* g722_1 - a library for the G.722.1 and Annex C codecs
*
* sam2coef.c
*
* Adapted by Steve Underwood <steveu@coppice.org> from the reference
* code supplied with ITU G.722.1, which is:
*
* (C) 2004 Polycom, Inc.
* All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
/*! \file */
#if defined(HAVE_CONFIG_H)
#include <config.h>
#endif
#include <inttypes.h>
#include <stdlib.h>
#include "g722_1/g722_1.h"
#include "defs.h"
#include "sam2coef.h"
#include "utilities.h"
/* Convert Samples to Reversed MLT (Modulated Lapped Transform) Coefficients
The "Reversed MLT" is an overlapped block transform which uses even symmetry
on the left, odd symmetry on the right and a Type IV DCT as the block transform.
It is thus similar to a MLT which uses odd symmetry on the left, even symmetry
on the right and a Type IV DST as the block transform. In fact, it is equivalent
to reversing the order of the samples, performing an MLT and then negating all
the even-numbered coefficients. */
#if defined(G722_1_USE_FIXED_POINT)
int16_t samples_to_rmlt_coefs(const int16_t new_samples[],
int16_t old_samples[],
int16_t coefs[],
int dct_length)
{
int i;
int half_dct_length;
int last;
int16_t mag_shift;
int16_t n;
int16_t windowed_data[MAX_DCT_LENGTH];
const int16_t *win;
int32_t acca;
int32_t accb;
int16_t temp;
int16_t temp1;
int16_t temp2;
half_dct_length = dct_length >> 1;
win = (dct_length == DCT_LENGTH) ? samples_to_rmlt_window : max_samples_to_rmlt_window;
/* Get the first half of the windowed samples */
last = half_dct_length - 1;
for (i = 0; i < half_dct_length; i++)
{
acca = L_mult(win[last - i], old_samples[last - i]);
acca = L_mac(acca, win[half_dct_length + i], old_samples[half_dct_length + i]);
windowed_data[i] = xround(acca);
}
/* Get the second half of the windowed samples */
last = dct_length - 1;
for (i = 0; i < half_dct_length; i++)
{
acca = L_mult(win[last - i], new_samples[i]);
acca = L_mac(acca, negate(win[i]), new_samples[last - i]);
windowed_data[half_dct_length + i] = xround(acca);
}
/* Save the new samples for next time, when they will be the old samples. */
vec_copyi16(old_samples, new_samples, dct_length);
/* Calculate how many bits to shift up the input to the DCT. */
temp1 = 0;
for (i = 0; i < dct_length; i++)
{
temp2 = abs_s(windowed_data[i]);
temp = sub(temp2, temp1);
if (temp > 0)
temp1 = temp2;
}
mag_shift = 0;
temp = sub(temp1, 14000);
if (temp < 0)
{
temp = sub(temp1, 438);
temp = (temp < 0) ? add(temp1, 1) : temp1;
accb = L_mult(temp, 9587);
acca = L_shr(accb, 20);
temp = norm_s((int16_t) acca);
mag_shift = (temp == 0) ? 9 : sub(temp, 6);
}
acca = 0;
for (i = 0; i < dct_length; i++)
{
temp = abs_s(windowed_data[i]);
acca = L_add(acca, temp);
}
acca = L_shr(acca, 7);
if (temp1 < acca)
mag_shift = sub(mag_shift, 1);
if (mag_shift > 0)
{
for (i = 0; i < dct_length; i++)
windowed_data[i] = shl(windowed_data[i], mag_shift);
}
else if (mag_shift < 0)
{
n = negate(mag_shift);
for (i = 0; i < dct_length; i++)
windowed_data[i] = shr(windowed_data[i], n);
}
/* Perform a Type IV DCT on the windowed data to get the coefficients */
dct_type_iv_a(windowed_data, coefs, dct_length);
return mag_shift;
}
/*- End of function --------------------------------------------------------*/
#else
void samples_to_rmlt_coefs(const float new_samples[],
float old_samples[],
float coefs[],
int dct_length)
{
int i;
int half_dct_length;
int last;
float sum;
float windowed_data[MAX_DCT_LENGTH];
const float *win;
half_dct_length = dct_length >> 1;
win = (dct_length == DCT_LENGTH) ? samples_to_rmlt_window : max_samples_to_rmlt_window;
/* Get the first half of the windowed samples. */
last = half_dct_length - 1;
for (i = 0; i < half_dct_length; i++)
{
sum = win[last - i]*old_samples[last - i];
sum += win[half_dct_length + i]*old_samples[half_dct_length + i];
windowed_data[i] = sum;
}
/* Get the second half of the windowed samples. */
last = dct_length - 1;
for (i = 0; i < half_dct_length; i++)
{
sum = win[last - i]*new_samples[i];
sum -= win[i]*new_samples[last - i];
windowed_data[half_dct_length + i] = sum;
}
/* Save the new samples for next time, when they will be the old samples. */
vec_copyf(old_samples, new_samples, dct_length);
/* Perform a Type IV DCT on the windowed data to get the coefficients. */
dct_type_iv(windowed_data, coefs, dct_length);
}
/*- End of function --------------------------------------------------------*/
#endif
/*- End of file ------------------------------------------------------------*/