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www.eeworm.com/read/460375/7252520
m4 aclocal.m4
# generated automatically by aclocal 1.7.8 -*- Autoconf -*-
# Copyright (C) 1996, 1997, 1998, 1999, 2000, 2001, 2002
# Free Software Foundation, Inc.
# This file is free software; the Free Software F
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m lpcis2rf.m
function rf=lpcis2rf(is)
%LPCRF2IS Convert inverse sines to reflection coefficients RF=(IS)
% Copyright (C) Mike Brookes 1997
% Version: $Id: lpcis2rf.m,v 1.4 2007/05/04 07:01:38 dmb
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m lpcaa2dl.m
function dl=lpcaa2dl(aa)
%LPCAA2DL LPC: Convert area coefficients to dct of log area DL=(AA)
% note: we do not correct for sinc distortion; perhaps we should multiply by
% k=1:p-1;s=[sqrt(0.5)/p
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m lpczz2cc.m
function cc=lpczz2cc(zz,np)
%LPCZZ2CC Convert poles to "complex" cepstrum CC=(ZZ,NP)
% Copyright (C) Mike Brookes 1997
% Version: $Id: lpczz2cc.m,v 1.4 2007/05/04 07:01:39 dmb Exp $
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m lpcss2zz.m
function zz=lpcss2zz(ss)
%LPCSS2ZZ Convert s-place poles to z-plane poles ZZ=(SS)
%the s-plane is in units of Normalized Hz and so the imaginary part
% of each ss() value is in the range +-0.5
%
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m rotqc2mc.m
function mc=rotqc2mc(qc)
%ROTQC2MC converts a matrix of complex quaternion vectors to quaternion matrices
% Inputs:
%
% QC(2m,n) mxn matrix of real quaternion vectors (each 2x1)
%
% Outpu
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m rotqr2ax.m
function [a,t]=rotqr2ax(q)
%ROTQR2AX converts a real quaternion to the corresponding rotation axis and angle
% Inputs:
%
% Q(4,1) real-valued quaternion (with magnitude = 1)
%
% Outputs:
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m choosrnk.m
function x=choosrnk(n,k)
%CHOOSRNK All choices of K elements taken from 1:N with replacement. [X]=(N,K)
% The output X is a matrix of size ((N+K-1)!/(K!*(N-1)!),K) where each row
% contains a choic
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m lpccc2db.m
function db=lpccc2db(cc,np,nc)
%LPCCC2DBf Convert complex cepstrum to dB power spectrum DB=(CC,NP,NC)
% cc = complex cepstrum coefs
% np+2 = number of frequency values 0 to nyquist (default: np=siz
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m rotmr2qr.m
function qr=rotmr2qr(mr)
%ROTMR2QR converts a matrix of real quaternion matrices to quaternion vectors
% Inputs:
%
% MR(4m,4n) mxn matrix of real quaternion matrices (each 4x4)
%
% Output