Scilab Home page | Wiki | Bug tracker | Forge | Mailing list archives | ATOMS | File exchange
Please login or create an account
Change language to: English - Français - Português - 日本語 -

Please note that the recommended version of Scilab is 6.0.0. This page might be outdated.
See the recommended documentation of this function

Справка Scilab >> Signal Processing > spectral_estimation > mese

mese

maximum entropy spectral estimation

Calling Sequence

[sm,fr]=mese(x [,npts]);

Arguments

x

Input sampled data sequence

npts

Optional parameter giving number of points of fr and sm (default is 256)

sm

Samples of spectral estimate on the frequency grid fr

fr

npts equally spaced frequency samples in [0,.5)

Description

Calculate the maximum entropy spectral estimate of x

Sample

Examples

rand("seed",12345),
y = (0:10);
x1 = sin(2*%pi*y/20);
x2 = sin(3.5*%pi*y/20);
w = .4*(rand(y)-.5*ones(y));
x = x1+2*x2+w;
[sm,fr1] = mese(x,10)
// Define macro which computes the 
// Blackman-Tukey periodogram
function [xm, fr]=bt(x)
  xsize = max(size(x))
  [xf,fr] = frmag(x,256)
  xm = xf.*conj(xf)/xsize
endfunction
[xm,fr] = bt(x);
scf();
subplot(3,1,1);
plot(x);
subplot(3,1,2);
plot(fr1,sm)
subplot(3,1,3);
plot(fr,xm)
Scilab Enterprises
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Thu Oct 02 14:01:06 CEST 2014