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			54 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			C
		
	
		
		
			
		
	
	
			54 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			C
		
	
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											12 years ago
										 
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								/* Copyright (C) 2002 Jean-Marc Valin */
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								/**
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								   @file lpc.h
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								   @brief Functions for LPC (Linear Prediction Coefficients) analysis
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								*/
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								/*
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								   Redistribution and use in source and binary forms, with or without
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								   modification, are permitted provided that the following conditions
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								   are met:
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								   - Redistributions of source code must retain the above copyright
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								   notice, this list of conditions and the following disclaimer.
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								   - Redistributions in binary form must reproduce the above copyright
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								   notice, this list of conditions and the following disclaimer in the
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								   documentation and/or other materials provided with the distribution.
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								   - Neither the name of the Xiph.org Foundation nor the names of its
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								   contributors may be used to endorse or promote products derived from
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								   this software without specific prior written permission.
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								   THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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								   ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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								   LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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								   A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE FOUNDATION OR
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								   CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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								   EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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								   PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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								   PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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								   LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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								   NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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								   SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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								*/
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								#ifndef LPC_H
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								#define LPC_H
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								#include "arch.h"
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								void _spx_autocorr(
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								              const spx_word16_t * x,   /*  in: [0...n-1] samples x   */
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								              spx_word16_t *ac,   /* out: [0...lag-1] ac values */
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								              int lag, int   n);
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								spx_word32_t                      /* returns minimum mean square error    */
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								_spx_lpc(
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								    spx_coef_t       * lpc, /*      [0...p-1] LPC coefficients      */
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								    const spx_word16_t * ac,  /*  in: [0...p] autocorrelation values  */
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								    int p
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								    );
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								#endif
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