代码搜索：complex-valued
找到约 133 项符合「complex-valued」的源代码
代码结果 133
www.eeworm.com/read/362152/10015628
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags
www.eeworm.com/read/362152/10015685
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags
www.eeworm.com/read/409205/11341469
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags
www.eeworm.com/read/409205/11341523
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags
www.eeworm.com/read/334935/12561091
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags
www.eeworm.com/read/334935/12561165
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags
www.eeworm.com/read/284452/8928070
m wvdist.m
function wig = WVDist(sig)
% WVDist -- Wigner-Ville Distribution
% Usage
% wig = WVDist(sig)
% Inputs
% sig 1-d signal of dyadic length n=2^J
% Outputs
% wig complex-valued ma
www.eeworm.com/read/305575/13765372
m morlwave.m
function [w,W]=morlwave(N,fs,m)
%MORLWAVE Morlet wavelet.
%
% PSI=MORLWAVE(N,F,M) returns the complex-valued Morlet wavelet of
% length N, concentrated at *cyclic* frequency F, and having M
www.eeworm.com/read/305575/13765556
m slepenvwave.m
function [w,fs,W]=slepenvwave(ao,m,P)
%SLEPENVWAVE Slepian-enveloped wavelet.
%
% W=SLEPENVWAVE(N,M,P) returns a complex-valued Slepian-enveloped
% wavelet of length N, concentrated at frequ
www.eeworm.com/read/305575/13765571
m randspecmat.m
function[S,C]=randspecmat(m)
%RANDSPECMAT Generates random 2x2 spectral matrices for testing
%
% S=RANDSPECMAT generates a random 2 x 2 spectral matrix. S is
% Hermitian with complex-valued off-