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Sampling Theorem for Multiwavelet Subspaces |
Chen Jun-li; Lu En-bo; Cao Wen-jia |
School of Communication and Info. Eng., Shanghai University, Shanghai 200072, China |
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Abstract In this paper, the multiwavelet sampling theorem from Walter’s wavelet sampling theorem by reproducing kernel is generalized. The reconstruction function can be expressed by multiwavelet using Zak transform. Then the general case of the irregular sampling is considered and the irregular sampling theorem for multiwavelet subspaces is established. Finally, the corresponding examples are given.
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Received: 19 October 2005
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