cum4 Matlab script

Publisher review:
cum4 computes the 3 dimensional 4th order cumulant biased estimate from an input signal matrix & lag. 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. Requirements: · MATLAB Release: R10 · Signal Processing Toolbox
Operating system:
Windows / Linux / Mac OS / BSD / Solaris

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