Scilab 6.0.2
      
      
    Please note that the recommended version of Scilab is 2026.0.0. This page might be outdated.
See the recommended documentation of this function
mese
maximum entropy spectral estimation
Syntax
[sm,fr]=mese(x [,npts]);
Arguments
- x
- Input sampled data sequence 
- npts
- Optional parameter giving number of points of - frand- 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)
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