mirror of
https://github.com/mpv-player/mpv
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214 lines
5.6 KiB
C
214 lines
5.6 KiB
C
/*
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* Copyright (C) 2001 Anders Johansson ajh@atri.curtin.edu.au
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*
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* This file is part of MPlayer.
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*
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* MPlayer is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* MPlayer is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with MPlayer; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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*/
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/* Calculates a number of window functions. The following window
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functions are currently implemented: Boxcar, Triang, Hanning,
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Hamming, Blackman, Flattop and Kaiser. In the function call n is
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the number of filter taps and w the buffer in which the filter
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coefficients will be stored.
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*/
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#include <math.h>
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#include "dsp.h"
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/*
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// Boxcar
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//
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// n window length
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// w buffer for the window parameters
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*/
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void af_window_boxcar(int n, FLOAT_TYPE* w)
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{
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int i;
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// Calculate window coefficients
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for (i=0 ; i<n ; i++)
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w[i] = 1.0;
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}
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/*
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// Triang a.k.a Bartlett
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//
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// | (N-1)|
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// 2 * |k - -----|
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// | 2 |
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// w = 1.0 - ---------------
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// N+1
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// n window length
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// w buffer for the window parameters
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*/
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void af_window_triang(int n, FLOAT_TYPE* w)
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{
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FLOAT_TYPE k1 = (FLOAT_TYPE)(n & 1);
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FLOAT_TYPE k2 = 1/((FLOAT_TYPE)n + k1);
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int end = (n + 1) >> 1;
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int i;
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// Calculate window coefficients
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for (i=0 ; i<end ; i++)
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w[i] = w[n-i-1] = (2.0*((FLOAT_TYPE)(i+1))-(1.0-k1))*k2;
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}
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/*
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// Hanning
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// 2*pi*k
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// w = 0.5 - 0.5*cos(------), where 0 < k <= N
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// N+1
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// n window length
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// w buffer for the window parameters
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*/
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void af_window_hanning(int n, FLOAT_TYPE* w)
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{
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int i;
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FLOAT_TYPE k = 2*M_PI/((FLOAT_TYPE)(n+1)); // 2*pi/(N+1)
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// Calculate window coefficients
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for (i=0; i<n; i++)
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*w++ = 0.5*(1.0 - cos(k*(FLOAT_TYPE)(i+1)));
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}
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/*
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// Hamming
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// 2*pi*k
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// w(k) = 0.54 - 0.46*cos(------), where 0 <= k < N
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// N-1
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//
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// n window length
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// w buffer for the window parameters
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*/
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void af_window_hamming(int n,FLOAT_TYPE* w)
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{
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int i;
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FLOAT_TYPE k = 2*M_PI/((FLOAT_TYPE)(n-1)); // 2*pi/(N-1)
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// Calculate window coefficients
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for (i=0; i<n; i++)
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*w++ = 0.54 - 0.46*cos(k*(FLOAT_TYPE)i);
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}
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/*
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// Blackman
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// 2*pi*k 4*pi*k
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// w(k) = 0.42 - 0.5*cos(------) + 0.08*cos(------), where 0 <= k < N
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// N-1 N-1
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//
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// n window length
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// w buffer for the window parameters
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*/
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void af_window_blackman(int n,FLOAT_TYPE* w)
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{
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int i;
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FLOAT_TYPE k1 = 2*M_PI/((FLOAT_TYPE)(n-1)); // 2*pi/(N-1)
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FLOAT_TYPE k2 = 2*k1; // 4*pi/(N-1)
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// Calculate window coefficients
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for (i=0; i<n; i++)
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*w++ = 0.42 - 0.50*cos(k1*(FLOAT_TYPE)i) + 0.08*cos(k2*(FLOAT_TYPE)i);
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}
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/*
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// Flattop
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// 2*pi*k 4*pi*k
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// w(k) = 0.2810638602 - 0.5208971735*cos(------) + 0.1980389663*cos(------), where 0 <= k < N
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// N-1 N-1
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//
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// n window length
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// w buffer for the window parameters
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*/
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void af_window_flattop(int n,FLOAT_TYPE* w)
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{
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int i;
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FLOAT_TYPE k1 = 2*M_PI/((FLOAT_TYPE)(n-1)); // 2*pi/(N-1)
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FLOAT_TYPE k2 = 2*k1; // 4*pi/(N-1)
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// Calculate window coefficients
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for (i=0; i<n; i++)
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*w++ = 0.2810638602 - 0.5208971735*cos(k1*(FLOAT_TYPE)i)
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+ 0.1980389663*cos(k2*(FLOAT_TYPE)i);
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}
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/* Computes the 0th order modified Bessel function of the first kind.
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// (Needed to compute Kaiser window)
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//
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// y = sum( (x/(2*n))^2 )
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// n
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*/
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#define BIZ_EPSILON 1E-21 // Max error acceptable
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static FLOAT_TYPE besselizero(FLOAT_TYPE x)
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{
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FLOAT_TYPE temp;
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FLOAT_TYPE sum = 1.0;
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FLOAT_TYPE u = 1.0;
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FLOAT_TYPE halfx = x/2.0;
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int n = 1;
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do {
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temp = halfx/(FLOAT_TYPE)n;
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u *=temp * temp;
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sum += u;
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n++;
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} while (u >= BIZ_EPSILON * sum);
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return sum;
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}
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/*
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// Kaiser
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//
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// n window length
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// w buffer for the window parameters
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// b beta parameter of Kaiser window, Beta >= 1
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//
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// Beta trades the rejection of the low pass filter against the
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// transition width from passband to stop band. Larger Beta means a
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// slower transition and greater stop band rejection. See Rabiner and
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// Gold (Theory and Application of DSP) under Kaiser windows for more
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// about Beta. The following table from Rabiner and Gold gives some
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// feel for the effect of Beta:
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//
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// All ripples in dB, width of transition band = D*N where N = window
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// length
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//
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// BETA D PB RIP SB RIP
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// 2.120 1.50 +-0.27 -30
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// 3.384 2.23 0.0864 -40
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// 4.538 2.93 0.0274 -50
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// 5.658 3.62 0.00868 -60
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// 6.764 4.32 0.00275 -70
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// 7.865 5.0 0.000868 -80
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// 8.960 5.7 0.000275 -90
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// 10.056 6.4 0.000087 -100
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*/
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void af_window_kaiser(int n, FLOAT_TYPE* w, FLOAT_TYPE b)
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{
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FLOAT_TYPE tmp;
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FLOAT_TYPE k1 = 1.0/besselizero(b);
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int k2 = 1 - (n & 1);
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int end = (n + 1) >> 1;
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int i;
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// Calculate window coefficients
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for (i=0 ; i<end ; i++){
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tmp = (FLOAT_TYPE)(2*i + k2) / ((FLOAT_TYPE)n - 1.0);
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w[end-(1&(!k2))+i] = w[end-1-i] = k1 * besselizero(b*sqrt(1.0 - tmp*tmp));
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}
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}
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