Oversampling Theorem for Wavelet Subspace
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概要
- 論文の詳細を見る
An oversampling theorem for regular sampling in wavelet subspaces is established. The sufficient-necessary condition for which it holds is found. Meanwhile the truncation error and aliasing error are estimated respectively when the theorem is applied to reconstruct discretely sampled signals. Finally an algorithm is formulated and an example is calculated to show the algorithm.
- 社団法人電子情報通信学会の論文
- 1998-01-25
著者
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CHEN Wen
Department of Electronics Engineering, Shanghai Jiao Tong University
-
ITOH Shuichi
Department of Information Systems, University of Electro-Comunications
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Itoh Shuichi
Department Of Information Network Science Graduate School Of Information Systems University Of Elect
-
Chen Wen
Department Of Anatomy And Cell Biology College Of Medicine National Taiwan University
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