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cum4.m

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cum4.m

by Tom McMurray

 

29 Sep 1998

Computes the 3 dimensional 4th order cumulant biased estimate from an input signal matrix & lag.

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Description

cum4.m computes the 3 dimensional 4th order cumulant biased estimate from an input signal matrix and a maximum lag value. As an example, a 256 sample signal was computed to +/- 31 lags in approximately 50 seconds on a 200 MHz Pentium Pro system, according to:
  
>> x=(rand(1,256)-0.5)*20;
>> y=cum4(x,31);

cum4.m employs the Signal Processing Toolbox 4.1 function xcorr.m.

Required Products Signal Processing Toolbox
MATLAB release MATLAB 5.2 (R10)
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Comments and Ratings (2)
12 Mar 2004 Rovel Panj

i need this function, because my Matlab is 5.3 version. i use it to correlate the output of a short code with lenght 64. thanx

31 Jul 2007 murat uyar  
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Tag Activity for this File
Tag Applied By Date/Time
spectral analysis Tom McMurray 22 Oct 2008 06:31:14
cumulant Tom McMurray 22 Oct 2008 06:31:14
estimate Tom McMurray 22 Oct 2008 06:31:14
approximation Tom McMurray 22 Oct 2008 06:31:14
signal processing Tom McMurray 22 Oct 2008 06:31:14

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