Approximation from shift-invariant spaces by integral operators
SIAM Journal on Mathematical Analysis
IEEE Transactions on Signal Processing
Generalized sampling theorems in multiresolution subspaces
IEEE Transactions on Signal Processing
A sampling theorem for wavelet subspaces
IEEE Transactions on Information Theory - Part 2
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Assume that a sequence of samples of a filtered version of a function in a shift-invariant space is given. This paper deals with the existence of a sampling formula involving these samples and having reconstruction functions with compact support. This is done in the light of the generalized sampling theory by using the oversampling technique. A necessary and sufficient condition is given in terms of the Smith canonical form of a polynomial matrix. Finally, we prove that the aforesaid oversampled formulas provide nice approximation schemes with respect to the uniform norm.