hspm.m

一种新的时频分析方法的matlab源程序。

function [h,xs,w] = hspm(data,nyy,t0,t1)
%
%    [h,xs,w] = hspm(data,nyy,t0,t1):
%    Function to generate an HHT spectrum of data(n,k) 
%    in time-period space, where 
%    n specifies the length of time series, and 
%    k is the number of IMF components.
%
%    Input-
%	data	- 2-D matrix data(n,k) of IMF components
%	nyy	- the period resolution
%	t0	- the start time
%	t1	- the end time
%    Output-
%	h	- 2-D matrix of the HHT spectrum, where
%		  1st dimension specifies the number of periods,
%		  2nd dimension specifies the number of time values
%	xs	- vector that specifies the time-axis values
%	w	- vector that specifies the period-axis values
%
%    Z. Shen (JHU)		July 2, 1995 Initial
%    D. Xiang (JHU)		March 26, 2002 Modified
%    J. Marshak (NASA GSFC)	Jan. 28, 2004 Edited
%
%    Notes-
%    MATLAB library function 'hilbert()' is used to calculate the
%    Hilbert transform.
%    Example, [h,xs,w] = hspm(lod78_p',200,1,3224).
%    Functions 'contour()' or img() can be used to view the spectrum,
%    for example contour(xs,w,h) or img(xs,w,h).
% 
%    Temporary remarks-
%    Changed the function name,
%    was 'hsp_m()' for the code named as 'hspm.m'.

%----- Get dimensions (number of time points and components)
[npt,knb] = size(data);

%%----- Get time interval
dt=(t1-t0)/(npt-1);

%-----Apply Hilbert Transform
data=hilbert(data);
a=abs(data);
omg=abs(diff(data)./data(1:npt-1,:)/(2*pi*dt));
%omg=abs(diff(unwrap(angle(data))))/(2*pi*dt);

%%----- Add the last row to omg to preserve the dimension
omg=[omg;omg(npt-1,:)];
   
clear data
tmx=1/min(min(omg));
tmn=1/max(max(omg));
dtt=tmx-tmn;
omg=1../omg;
clear p;

%----- Construct the ploting matrix
h1=zeros(npt,nyy+1);
p=round(nyy*(omg-tmn)/dtt)+1;
for j1=1:npt
   for i1=1:knb
      ii1=p(j1,i1);	
      h1(j1,ii1)=h1(j1,ii1)+a(j1,i1);
   end
end

%---- Define the results
w=linspace(tmn,tmx,nyy+1)';
xs=linspace(t0,t1,npt)';
h=flipud(rot90(abs(h1)));