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Multi-criteria design of oversampled uniform DFT filter banks

Yui, K.F.C; Grbic, Nedelko LU ; Nordholm, Sven and Teo, K.L. (2004) In IEEE Signal Processing Letters 11(6). p.541-544
Abstract
Subband adaptive filters have been proposed to avoid the drawbacks of slow convergence and high computational complexity associated with 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 letter, the problems of aliasing effect and amplitude distortion are studied. Prototype filters which are optimized with respect to those properties are designed and their performances are compared. Moreover, the effect of the number of subbands, the oversampling factors and the length of the prototype filter are also studied. Using the multicriteria formulation, all Pareto optimums are... (More)
Subband adaptive filters have been proposed to avoid the drawbacks of slow convergence and high computational complexity associated with 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 letter, the problems of aliasing effect and amplitude distortion are studied. Prototype filters which are optimized with respect to those properties are designed and their performances are compared. Moreover, the effect of the number of subbands, the oversampling factors and the length of the prototype filter are also studied. Using the multicriteria formulation, all Pareto optimums are sought via the nonlinear programming technique. We find that the prototype filter designed via the Kaiser window provides the best overall performance among the methods we studied. Also, there is a critical oversampling factor beyond which the improvement of performance is diminishing. Finally, if the length of the prototype filter increases with the number of subbands, an increase in the number of subbands will not deteriorate the performance. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Signal Processing Letters
volume
11
issue
6
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • Scopus:2942585015
ISSN
1070-9908
DOI
10.1109/LSP.2004.826676
language
English
LU publication?
yes
id
1ae121d0-ffbd-4b15-87af-cbae6918f63a
date added to LUP
2016-06-23 14:00:29
date last changed
2016-10-13 05:10:44
@misc{1ae121d0-ffbd-4b15-87af-cbae6918f63a,
  abstract     = {Subband adaptive filters have been proposed to avoid the drawbacks of slow convergence and high computational complexity associated with 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 letter, the problems of aliasing effect and amplitude distortion are studied. Prototype filters which are optimized with respect to those properties are designed and their performances are compared. Moreover, the effect of the number of subbands, the oversampling factors and the length of the prototype filter are also studied. Using the multicriteria formulation, all Pareto optimums are sought via the nonlinear programming technique. We find that the prototype filter designed via the Kaiser window provides the best overall performance among the methods we studied. Also, there is a critical oversampling factor beyond which the improvement of performance is diminishing. Finally, if the length of the prototype filter increases with the number of subbands, an increase in the number of subbands will not deteriorate the performance.},
  author       = {Yui, K.F.C and Grbic, Nedelko and Nordholm, Sven and Teo, K.L.},
  issn         = {1070-9908},
  language     = {eng},
  number       = {6},
  pages        = {541--544},
  publisher    = {ARRAY(0x9e39910)},
  series       = {IEEE Signal Processing Letters},
  title        = {Multi-criteria design of oversampled uniform DFT filter banks},
  url          = {http://dx.doi.org/10.1109/LSP.2004.826676},
  volume       = {11},
  year         = {2004},
}