n-dimensional euclidean distance between each window in A and template T. Similar to normxcorrn, except at each point (i,j) calculates the euclidean distance between the T and the window in A surrounding the point, storing the result in C(i,j). The order of parameters is reversed from normxcorrn. This is to be compatible with the matlab functions normxcorr2 anc xcorr2 which take parameters in different orders. Also, note that normxcorrn gives a similarity matrix, whereas xeucn gives a dissimilarity (distance) matrix. For example usage see normxcorrn. INPUTS A - first d-dimensional matrix T - second d-dimensional matrix shape - [optional] 'valid', 'full', or 'same', see convn_fast help OUTPUTS C - correlation matrix DATESTAMP 29-Sep-2005 2:00pm See also NORMXCORRN, XEUCN, XCORRN