cum4.m

Version 1.0.0.0 (1.92 KB) by Tom McMurray
Computes the 3 dimensional 4th order cumulant biased estimate from an input signal matrix & lag.
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Updated 29 Sep 1998

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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.

Cite As

Tom McMurray (2026). cum4.m (https://www.mathworks.com/matlabcentral/fileexchange/61-cum4-m), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R10
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0.0