文件名称:CUM2X

  • 所属分类:
  • 软件工程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 1kb
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  • 0次
  • 提 供 者:
  • k***
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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].
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