Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13065
Title: A hybrid method for the design of oversampled uniform DFT filter banks
Authors: Yiu, KFC 
Grbiä , N
Nordholm, S
Teo, KL
Keywords: Subband adaptive filter
Aliasing effect
Amplitude distortion
Simulated annealing
Pareto optimum
Issue Date: 2006
Publisher: Elsevier
Source: Signal processing, 2006, v. 86, no. 7, p. 1355-1364 How to cite?
Journal: Signal processing 
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.
URI: http://hdl.handle.net/10397/13065
ISSN: 0165-1684
EISSN: 1872-7557
DOI: 10.1016/j.sigpro.2005.02.023
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