代码搜索：Spectrum
找到约 5,196 项符合「Spectrum」的源代码
代码结果 5,196
www.eeworm.com/read/129893/14218620
m exa010201b.m
%---------------------------------------------------------------------------------------
% exa010201b.m, for example 1.2.3
% 说明信号的子带分解；
%----------------------------------------------------------
www.eeworm.com/read/231449/14233596
m program_10_3.m
% Program 10_3
% Effect of Up-sampling in the Frequency Domain
% Use fir2 to create a bandlimited input sequence
freq = [0 0.45 0.5 1];
mag = [0 1 0 0];
x = fir2(99, freq, mag);
% Evaluate and p
www.eeworm.com/read/231449/14233615
m program_10_4.m
% Program 10_4
% Effect of Down-sampling in the Frequency Domain
% Use fir2 to create a bandlimited input sequence
freq = [0 0.42 0.48 1];
mag = [0 1 0 0];
x = fir2(101, freq, mag);
% Evaluate a
www.eeworm.com/read/129218/14257682
c switches.c
/*****************************************************************************/
/* */
/* FILENAME
www.eeworm.com/read/228372/14387888
m lpcpf2cc.m
function cc=lpcpf2cc(pf,np)
%LPCPF2CC Convert power spectrum to complex cepstrum CC=(PF,NP)
% Note this conversion is not exact unless the pf() spectrum is much > np
% Copyright (C) Mike Bro
www.eeworm.com/read/228372/14387901
m lpcpz2zz.m
function zz=lpcpz2zz(pz)
%LPCPZ2ZZ LPC: Power spectrum roots to LPC poles ZZ=(PZ)
% pz are the roots of the power spectrum polynomial pp(cos(w))
% Copyright (C) Mike Brookes 1998
% Ver
www.eeworm.com/read/228372/14388009
m lpcff2pf.m
function pf=lpcff2pf(ff)
%LPCFF2PF Convert complex spectrum to power spectrum PF=(FF)
% Copyright (C) Mike Brookes 1997
% Version: $Id: lpcff2pf.m,v 1.3 2005/02/21 15:22:13 dmb Exp $
www.eeworm.com/read/228372/14388011
m lpcpp2cw.m
function cw=lpcpp2cw(pp)
%LPCPP2PZ LPC: Convert power spectrum polynomial in cos(w) to power spectrum zeros CW=(RP)
% pp is a polynomial such that |polyval(ra,e^jw)| = polyval(pp,cos(w))
% C
www.eeworm.com/read/228372/14388017
m lpcpf2rr.m
function rr=lpcpf2rr(pf,p)
%LPCPF2RR convert power spectrum to autocorrelation coefs RR=(PF,P)
% Note that these will only be accurate if the power spectrum is much longer than p
% Copyrig
www.eeworm.com/read/228372/14388041
m lpcar2pf.m
function pf=lpcar2pf(ar,np)
%LPCAR2PF Convert AR coefs to power spectrum PF=(AR,NP)
% the power spectrum will contain np+2 points ranging from Dc to nyquist frequency
% The routine is faster if NP+