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/458010/7314195
m lpcra2pp.m
function pp=lpcra2pp(ra)
%LPCAR2PP LPC: Convert ar filter autocorrelation to power spectrum polynomial in cos(w) PP=(RA)
% pp is a polynomial such that |polyval(ra,e^jw)| = polyval(pp,cos(w))
%
www.eeworm.com/read/448350/7534419
m lpcra2pp.m
function pp=lpcra2pp(ra)
%LPCAR2PP LPC: Convert ar filter autocorrelation to power spectrum polynomial in cos(w) PP=(RA)
% pp is a polynomial such that |polyval(ra,e^jw)| = polyval(pp,cos(w))
%
www.eeworm.com/read/440750/7682178
m lpcra2pp.m
function pp=lpcra2pp(ra)
%LPCAR2PP LPC: Convert ar filter autocorrelation to power spectrum polynomial in cos(w) PP=(RA)
% pp is a polynomial such that |polyval(ra,e^jw)| = polyval(pp,cos(w))
%
www.eeworm.com/read/440070/7694861
html mem_spec.html
mem_spec
Description of the program: mem_spec
This program estimates the power spectrum
www.eeworm.com/read/197649/7982919
m nspe.m
function [h,xs,w] = nspe(data,nyy,t0,t1)
% The function NSPE generates a smoothed and improved HHT spectrum
% of data(n,k) in time-frequency space, where
% n specifies the length of time series,
www.eeworm.com/read/197649/7982932
m nspabeh.m
function [h,xs,w] = nspabeh(data,nyy,minw,maxw,t0,t1)
% The function NSPABEH generates the improved HHT spectrum of data(n,k)
% in time-frequency space, where
% n specifies the length of time
www.eeworm.com/read/197649/7982958
m nspabd.m
function [h,xs,w] = nspabd(data,nyy,minw,maxw,t0,t1)
% The function NSPABD generates a smoothed HHT damping spectrum
% in time-frequency space, with fixed frequency range for data(n,k),
% where
www.eeworm.com/read/197649/7983257
m bigd3hilbert.m
echo on;
% --- BIGD3HILBERT loads files and plots their 3-D Hilbert spectrum.
% Data loaded is 'cp71301'-'cp713100'.
%
% Non MATLAB Library routines used are: NSPAB, FSPECIAL.
%
% See marked lin
www.eeworm.com/read/142092/12963056
m nspe.m
function [h,xs,w] = nspe(data,nyy,t0,t1)
% The function NSPE generates a smoothed and improved HHT spectrum
% of data(n,k) in time-frequency space, where
% n specifies the length of time series,
www.eeworm.com/read/142092/12963065
m nspabeh.m
function [h,xs,w] = nspabeh(data,nyy,minw,maxw,t0,t1)
% The function NSPABEH generates the improved HHT spectrum of data(n,k)
% in time-frequency space, where
% n specifies the length of time