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T = convmtx2(H,m,n)
T = convmtx2(H,[m n])
T = convmtx2(H,m,n) returns the convolution matrix T for the matrix H. If X is an m-by-n matrix, then reshape(T*X(:),size(H)+[m n]-1) is the same as conv2(X,H).
T = convmtx2(H,[m n]) returns the convolution matrix, where the dimensions m and n are a two-element vector.
The inputs are all of class double. The output matrix T is of class sparse. The number of nonzero elements in T is no larger than prod(size(H))*m*n.
convmtx in the Signal Processing Toolbox User's Guide documentation
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