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/350990/10690615
m ip_01_08.m
% MATLAB script for Illustrartive Problem 8, Chapter 1.
ts=0.001;
fs=1/ts;
t=[0:ts:10];
x=cos(2*pi*47*t)+cos(2*pi*219*t)
www.eeworm.com/read/350990/10690644
m ip_01_07.m
% MATLAB script for Illustrative Problem 7, Chapter 1.
echo on
df=0.01; % freq. resolution
fs=5; % sampling frequency
ts=1/fs;
www.eeworm.com/read/419769/10838834
m exa010201b.m
%---------------------------------------------------------------------------------------
% exa010201b.m, for example 1.2.3
% 说明信号的子带分解；
%----------------------------------------------------------
www.eeworm.com/read/271244/11001967
m fdamp.m
function msf=fdump(x)
% The function FDUMP calculates a normalized marginal damping spectrum
% of x(k,n),where k specifies the number of frequencies,
% and n is the number of time values.
%
%
www.eeworm.com/read/271244/11001976
m nspz.m
function [h,xs,w] = nspz(data,nyy,t0,t1)
% The function NSPZ generates the spectrum using zero-crossing method
% in time-frequency space for data(n,k), where
% n specifies the length of time
www.eeworm.com/read/271244/11001978
m nspte.m
function [h,xs,w] = nspte(data,nyy,t0,t1)
% The function NSPTE calculates the spectrum using Teager Energy Operator
% applied to data(n,k), where n is the number of data points
% and k is the num
www.eeworm.com/read/271244/11001981
m hspc.m
function ms=hspc(x,tt)
%
% ms=hspc(x,tt):
% Function to calculate a normallized marginal spectrum of x(k,n),
% where k specifies the number of periods, and
% n is the number of time
www.eeworm.com/read/271244/11001997
m mrgnl1.m
function [ms,f]=mrgnl1(c,nw,w0,w1,t0,t1)
% The function MRGNL1 calculates a squared marginal spectrum
% of the data c(n,k), where k specifies the number of IMF components,
% and n is the number
www.eeworm.com/read/271244/11001999
m mspc.m
function ms=mspc(x,f)
% The function MSPC calculates a normalized marginal damping spectrum
% of x(k,n), where k specifies the number of frequencies, and
% n is the number of time values.
%
%
www.eeworm.com/read/271244/11002167
m nsph.m
function [h,xs,w] = nsph(data,nyy,t0,t1)
%
% [nt,t,f]=nsph(data,ny,t0,t1): Hilbert spectrum using [f,a]=hfam(data,dt)
%
% Input:
% data: input data.
% ny: the frequency resolution.