代码搜索:FOUNDATION

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www.eeworm.com/read/320176/13431587

m pcmu2lin.m

function x=pcmu2lin(p,s) %PCMU2LIN Convert Mu-law PCM to linear X=(P,S) % lin = pcmu2lin(pcmu) where pcmu contains a vector % of mu-law values in the range 0 to 255. % No checking is performed to
www.eeworm.com/read/320176/13431595

m rsfft.m

function x=srfft(y,n) %SRFFT fft of a real symmetric spectrum X=(Y,N) % The invere fft is the same function but divided by N % Y contains FIX(1+N/2) complex samples from the spectrum: if argumen
www.eeworm.com/read/320175/13431612

m lpcbwexp.m

function arx=lpcbwexp(ar,bw) %LPCBWEXP expand formant bandwidths of LPC filter ARX=(AR,BW) %minimum bandwidth will be BW*fs where fs is the sampling frequency %the radius of each pole will be multi
www.eeworm.com/read/320175/13431617

m lpcar2pp.m

function pp=lpcar2pp(ar) %LPCAR2PP LPC: Convert ar filter to power spectrum polynomial in cos(w) PP=(AR) % the pp is a polynomial such that |polyval(ar,e^jw)|^2 = polyval(pp,cos(w)) % Copyri
www.eeworm.com/read/320175/13431623

m lpcrf2aa.m

function aa=lpcrf2aa(rf) %LPCRF2AA Convert reflection coefficients to area function AA=(RF) %The areas are normalised so that aa(p+2)=1: the effective area of the free air beyond the lips. % aa(1)
www.eeworm.com/read/320175/13431626

m lpcra2pf.m

function pf=lpcra2pf(ra,np) %LPCAR2PF Convert AR coefs to power spectrum PF=(RA,NP) % The routine is faster if NP+1 is a power of 2 % For RA(:,p+1) the default value of np is p and the output is PF
www.eeworm.com/read/320172/13431660

m permutes.m

function [p,s]=permutes(n) %PERMUTES All N! permutations of 1:N + signatures [P,S]=(N) % The output P is a matrix of size (N!,N) where each row % contains a permutation of the numbers 1:N. The rows
www.eeworm.com/read/320172/13431676

m pcmu2lin.m

function x=pcmu2lin(p,s) %PCMU2LIN Convert Mu-law PCM to linear X=(P,S) % lin = pcmu2lin(pcmu) where pcmu contains a vector % of mu-law values in the range 0 to 255. % No checking is performed to
www.eeworm.com/read/320172/13431682

m rsfft.m

function x=srfft(y,n) %SRFFT fft of a real symmetric spectrum X=(Y,N) % The invere fft is the same function but divided by N % Y contains FIX(1+N/2) complex samples from the spectrum: if argumen
www.eeworm.com/read/318604/13475162

c terminfo.c

/* terminfo.c - read a terminfo entry from the command line */ /* * GRUB -- GRand Unified Bootloader * Copyright (C) 2002,2004 Free Software Foundation, Inc. * * This program is free softwar