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/*--------------------------------------------------------------------------*\
FILE........: sd.c
AUTHOR......: David Rowe
DATE CREATED: 20/7/93
Function to determine spectral distortion between two sets of LPCs.
\*--------------------------------------------------------------------------*/
/*
Copyright (C) 2009 David Rowe
All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License version 2.1, as
published by the Free Software Foundation. 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. See the GNU General Public
License for more details.
You should have received a copy of the GNU Lesser General Public License
along with this program; if not, see <http://www.gnu.org/licenses/>.
*/
#include "sd.h"
#include <math.h>
/*---------------------------------------------------------------------------*\
FUNCTION....: spectral_dist()
AUTHOR......: David Rowe
DATE CREATED: 20/7/93
This function returns the spectral distoertion between two
sets of LPCs.
\*---------------------------------------------------------------------------*/
float spectral_dist(float ak1[], float ak2[], int p, codec2_fft_cfg fft_fwd_cfg,
int n)
/* float ak1[]; unquantised set of p+1 LPCs */
/* float ak2[]; quantised set of p+1 LPCs */
/* int p; LP order */
/* fft_fwd_cfg FFT constants */
/* int n; DFT size to use for SD calculations (power of 2) */
{
COMP A1[n]; /* DFT of ak1[] */
COMP A2[n]; /* DFT of ak2[] */
float P1, P2; /* power of current bin */
float sd;
int i;
for (i = 0; i < n; i++) {
A1[i].real = 0.0;
A1[i].imag = 0.0;
A2[i].real = 0.0;
A2[i].imag = 0.0;
}
for (i = 0; i < p + 1; i++) {
A1[i].real = ak1[i];
A2[i].real = ak2[i];
}
codec2_fft_inplace(fft_fwd_cfg, A1);
codec2_fft_inplace(fft_fwd_cfg, A2);
sd = 0.0;
for (i = 0; i < n; i++) {
P1 = A1[i].real * A1[i].real + A1[i].imag * A1[i].imag;
P2 = A2[i].real * A2[i].real + A2[i].imag * A2[i].imag;
sd += pow(10.0 * log10(P2 / P1), 2.0);
}
sd = sd / n; /* mean sd for this frame in dB*dB, which can be further averaged
across frames */
return (sd);
}
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