A hybrid method for the design of oversampled uniform DFT filter banks

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Full text:
Author(s): Ka Fai Cedric Yiu, Nedelko Grbic, Sven Nordholm, Kok Ley Teo
Title: A hybrid method for the design of oversampled uniform DFT filter banks
Journal: Signal Processing
Year: 2006
Volume: 86
Issue: 7
Pagination: 1355-1364
ISSN: 0165-1684
Publisher: Elsevier
URI/DOI: 10.1016/j.sigpro.2005.02.023
ISI number: 000237769300001
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: cedric@hkucc.hku.hk, ngr@bth.se
Language: English
Abstract: Subband adaptive filters have been proposed to speed up the convergence and to lower the computational complexity of time domain adaptive filters. However, subband processing causes signal degradations due to aliasing effects and amplitude distortions. This problem is unavoidable due to further filtering operations in subbands. In this paper, the problem of aliasing effect and amplitude distortion is studied. The prototype filter design problem is formulated as a multi-criteria optimization problem and all the Pareto optima are sought. Since the problem is highly nonlinear and nonsmooth, a new hybrid optimization method is proposed. Different prototype filters are used and their performances are compared. Moreover, the effect of the number of subbands, the oversampling factors and the length of prototype filter are also studied. We find that prototype filters designed via Kaiser or Dolph–Chebyshev window provide the best overall performance. Also, there is a critical oversampling factor beyond which the improvement in performance is not justified. Finally, if the length of the prototype filter increases with the number of subbands, an increase in the subband level will not deteriorate the performance.
Subject: Signal Processing\Filter Design
Keywords: Subband adaptive filter; Aliasing effect; Amplitude distortion; Simulated annealing; Pareto optimum
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