代码搜索:codebook

找到约 1,717 项符合「codebook」的源代码

代码结果 1,717
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m codegain.m

function CGC = CodeGain (ACBbIB, Pulseval, Pitchpar) % Combined codes for the adaptive codebook gains and the multipulse gains. % $Id: CodeGain.m 1.3 2004/08/03 G.723.1-v2r1b $ GModV = Pitchpar.GMod
www.eeworm.com/read/136827/5847043

h c2_9pf.h

/********************************************************************** ** Copyright (C) 2000-2005 Trolltech AS and its licensors. ** All rights reserved. ** ** This file is part of the Qtopia Environ
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h qgain475.h

/********************************************************************** ** Copyright (C) 2000-2005 Trolltech AS and its licensors. ** All rights reserved. ** ** This file is part of the Qtopia Environ
www.eeworm.com/read/131469/5928640

c msvq.c

/* ---------------------------------------------------------------- Speech Signal Processing Toolkit (SPTK): version 3.0 SPTK Working Group Department of Computer Science Nagoya Inst
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c imsvq.c

/* ---------------------------------------------------------------- Speech Signal Processing Toolkit (SPTK): version 3.0 SPTK Working Group Department of Computer Science Nagoya Inst
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m decodpac.m

function y = decodpac(rev, H) % transfer the complex channel matrix into a % real one for sphere decoding % Only for QPSK % rev: received signal vector % H: channel matrix codebook=[-1 1]; Ra
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m spheredecod3.m

function y1 = spheredecod3(rev, C, M, codebook) % Sphere decoding as the channel matrix is available % only for real number matrices and vectors % rec: received signal vector % C: Initial radiu
www.eeworm.com/read/482867/6615455

m lvq.m

function v=lvq(x,para,p) %initialize etaz=para.etaz; N=para.it; i=0; n=size(x,1); c=para.clusters; fno=para.fno; if(p==0) s=para.s(1); else s=para.s(p); end %-----------------------
www.eeworm.com/read/150238/12302621

m train_liu1.m

function code = train(traindir, n) % Speaker Recognition: Training Stage % % Input: % traindir : string name of directory contains all train sound files % n : number of train files
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m train2.m

% function code = train(traindir, n) % Speaker Recognition: Training Stage % % Input: % traindir : string name of directory contains all train sound files % n : number of train file