摘要
The classical Shannon sampling theorem has been extended to wavelet subspaces by Walter, that is, a signal f(t) in certain wavelet subspace VJ(φ) for certain scaling function φ(t) can be exactly reconstructed by its samples f(k/2J). For signals not necessarily in wavelet subspaces, the sampling theorem is not true. In this article, we estimate the aliasing error in the sampling theorem for a general signal. An application for the aliasing error estimation in the computation of the wavelet transform coefficients by the Shensa algorithm is also discussed.
源语言 | 英语 |
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主期刊名 | Digital Speech Processing |
出版商 | Publ by IEEE |
页 | 111.300-303 |
ISBN(印刷版) | 0780309464 |
出版状态 | 已出版 - 1993 |
已对外发布 | 是 |
活动 | 1993 IEEE International Conference on Acoustics, Speech and Signal Processing - Minneapolis, MN, USA 期限: 27 4月 1993 → 30 4月 1993 |
出版系列
姓名 | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
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卷 | 3 |
ISSN(印刷版) | 0736-7791 |
会议
会议 | 1993 IEEE International Conference on Acoustics, Speech and Signal Processing |
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市 | Minneapolis, MN, USA |
时期 | 27/04/93 → 30/04/93 |
指纹
探究 'Estimation of aliasing error in sampling theorem for signals not necessarily in wavelet subspaces' 的科研主题。它们共同构成独一无二的指纹。引用此
Xia, X. G., & Zhang, Z. (1993). Estimation of aliasing error in sampling theorem for signals not necessarily in wavelet subspaces. 在 Digital Speech Processing (页码 111.300-303). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; 卷 3). Publ by IEEE.