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 dimensions

％　　 if x,y are matrices, rather than vectors, columns are

％　　 assumed to correspond to independent realizations,

％　　 overlap is set to 0, and samp_seg to the row dimension.

％　　 maxlag - maximum lag to be computed [default = 0]

％　　samp_seg - samples per segment [default = data_length]

％　　 overlap - percentage overlap of segments [default = 0]

％　　 overlap is clipped to the allowed range of [0,99].-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].