On sampling in shift invariant spaces

IEEE Transactions on Information Theory - Tập 48 Số 10 - Trang 2802-2810 - 2002
Wen Chen1, S. Itoh2, J. Shiki2
1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada
2Department of Information Network Sciences, Graduate School of Information Systems, University of Electro-Communications, Chofu, Tokyo, Japan

Tóm tắt

A necessary and sufficient condition for sampling in the general framework of shift invariant spaces is derived. Then this result is applied, respectively, to the regular sampling and the perturbation of regular sampling in shift invariant spaces. A simple necessary and sufficient condition for regular sampling in shift invariant spaces is attained. Furthermore, an improved estimate for the perturbation is derived for the perturbation of regular sampling in shift invariant spaces. The derived estimate is easy to calculate, and shown to be optimal in some shift invariant spaces. The algorithm to calculate the reconstruction frame is also presented.

Từ khóa

#Signal sampling #Signal reconstruction #Spline functions #Wavelet transforms

Tài liệu tham khảo

10.2307/2153134 10.1002/cpa.3160410705 10.1006/jfan.1994.1003 10.1109/78.258079 10.1007/BF02762276 10.1109/18.485731 10.1007/s00041-001-4027-2 meyer, 1992, wavelets and operators, Cambridge Studies in Advanced Mathematics, 37 10.1109/78.330352 10.1109/18.119745 10.1002/(SICI)1520-6440(199905)82:5<65::AID-ECJC8>3.0.CO;2-L 10.1080/01630569408816545 10.1109/18.669187 10.1109/ISIT.1997.613159 chen, 1997, signal reconstruction by scaling functions with oversampling property, Proc SITA, 745 chen, 1998, oversampling theorem for wavelet subspaces, IEICE Trans Fundamentals, e81 a, 131 10.1080/01630569308816532 10.1016/B978-0-12-174590-5.50021-6 10.1109/78.720386 10.1016/0019-3577(93)90021-P 10.1007/s00041-001-4009-4 walter, 1994, Wavelets and Orthogonal System with Applications young, 1980, Introduction to Non-Harmonic Fourier Series xia, 1993, on sampling theorem, wavelets, and wavelet transforms, IEEE Transactions on Signal Processings, 41, 3524, 10.1109/78.258090