NDLI: Performance analysis of wavelet transform-based adaptive filtering

Content Provider	IEEE Xplore Digital Library
Author	Ogunfunmi, T. Dang, L.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng., Santa Clara Univ., CA, USA (Ogunfunmi, T.; Dang, L.)
Abstract	The wavelet transform has been introduced for quite some time now. We examine the performance of wavelet transform-based adaptive filters. The application of two typical wavelets (D4 and Haar wavelets) are studied extensively as indicators of wavelet transform-based adaptive filter performance in general. Experimental results for a system identification application show an improvement in signal modelling and satisfactory convergence speed for a variety of equalisation conditions. We also compare the wavelet transform-based adaptive filters of Lee and Un (1986) to other transform-based adaptive filters such as discrete-cosine transform (DCT), discrete sine transform (DST), discrete Fourier transform (DFT), Walsh Hadamard transform (WHT) and discrete Hartley transform (DHT). The results of this comparison are mixed. We find that the performance depends on many factors but are consistent with the findings of Lee and Un. The results are also largely dependent on the properties of wavelets which have been found to be well suited for analyzing non-stationary signals. Finally, we present computational complexity considerations between these various transform-domain adaptive filters.
Starting Page	288
Ending Page	292
File Size	452696
Page Count	5
File Format	PDF
ISBN	0818664053
ISSN	10586393
DOI	10.1109/ACSSC.1994.471462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis Wavelet analysis Adaptive filters Discrete Fourier transforms Discrete wavelet transforms Fourier transforms Wavelet transforms System identification Signal processing Convergence
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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