@inproceedings{88cb567dbf9f4a1c90f4632c4ec68771,
title = "On optimal prefiltering for wavelet coefficient computation",
abstract = "An algorithm was proposed by Shensa for computing the coefficients of wavelet series transform (WST) or continuous wavelet transform (CWT). With the Shensa algorithm, we first perform filtering on a sampled discrete-time signal and then apply the Mallat's discrete wavelet transform (DWT) algorithm to the filtered sequence, where the prefiltering is used to reduce the approximation error between the computed and desired coefficients. In this research, we consider the design of optimal causal and noncausal FIR prefilters which reduce the approximation error as much as possible. Numerical experiments are provided to demonstrate the performance of these optimal prefilters.",
author = "Xia, \{Xiang Gen\} and \{Jay Kuo\}, \{C. C.\} and Zhen Zhang",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992 ; Conference date: 26-10-1992 Through 28-10-1992",
year = "1992",
doi = "10.1109/ACSSC.1992.269274",
language = "English",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "135--139",
booktitle = "Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992",
address = "United States",
}