Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0010-4655(99)00185-X
Title: Generalized symmetric interpolating wavelets
Authors: Zhuoer, S.
Kouri, D.J.
Wei, G.W. 
Huffman, D.K.
Issue Date: 2-Jun-1999
Citation: Zhuoer, S., Kouri, D.J., Wei, G.W., Huffman, D.K. (1999-06-02). Generalized symmetric interpolating wavelets. Computer Physics Communications 119 (2) : 194-218. ScholarBank@NUS Repository. https://doi.org/10.1016/S0010-4655(99)00185-X
Abstract: A new class of biorthogonal wavelets-interpolating distributed approximating functional (DAF) wavelets are proposed as a powerful basis for scale-space functional analysis and approximation. The important advantage is that these wavelets can be designed with infinite smoothness in both time and frequency spaces, and have as well symmetric interpolating characteristics. Boundary adaptive wavelets can be implemented conveniently by simply shifting the window envelope. As examples, generalized Lagrange wavelets and generalized Sinc wavelets are presented and discussed in detail. Efficient applications in computational science and engineering are explored.
Source Title: Computer Physics Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/104794
ISSN: 00104655
DOI: 10.1016/S0010-4655(99)00185-X
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