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
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
conv2 | convmtx
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