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  • Update : 2012-11-26
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  • Author :keke
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Introduction - If you have any usage issues, please Google them yourself
function y_cum cum2x = (x, y, maxlag. nsamp, overlap, flag)% CUM2X Cross-covariance% y_cum cum2x = ( x, y, maxlag, samp_seg, overlap, flag)% x, y-data vectors/matrices with identical dimen sions% if x and y are matrices. rather than vectors. % columns are assumed to correspond to independ ent realizations,% overlap is set to 0, and samp_seg dimension to the row. % maxlag-max imum lag to be computed [default = 0]% samp_seg- samples per segment [default = data_length] o% verlap-percentage overlap of segments [defau lt = 0]% overlap is clipped to the allowed range o f [0,99].
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CUM2X.M
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