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Highlights from
cum4.m
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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| File Information |
| 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
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| MATLAB release |
MATLAB 5.2 (R10)
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| Comments and Ratings (2) |
| 12 Mar 2004 |
Rovel Panj
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| 31 Jul 2007 |
murat uyar
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