Cited by 15Digital Filter Design and ImplementationMathematical Analysis and Transform MethodsAdvanced Adaptive Filtering Techniques

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SDP Approximation of a Fractional Delay and the Design of Dual-Tree Complex Wavelet Transform

Dumitrescu, B.·2008·IEEE Transactions on Signal Processing

Abstract

We show that an Hinfinoptimization problem related to fractional delay approximation can be formulated as a semideflnite programming (SDP) problem and thus solved reliably. Particularly, given the finite-impulse-response (FIR) filter H(z), we find the FIR filter G(z) of given degree such that ||G(z) - z-1/2H(z)||infinis minimum. This half-sample delay approximation problem is used in the design of filters generating orthogonal dual-tree complex wavelet transforms. Since the solution does not conform to the orthogonality constraints exactly, we propose their enforcement in a second stage of optimization, in which an analyticity criterion is optimized. The proposed designs compare favorably with previous ones.

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Research works printed but not linked: 21

  1. 10.1109/CDC.2003.1272410 · DOI · Paper page
  2. dumitrescu, 2007, Positive Trigonometric Polynomials and Signal Processing Applications
  3. 10.1090/S0002-9947-00-02595-2 · DOI
  4. 10.1109/TSP.2002.804079 · DOI
  5. 10.1007/s10107-002-0334-x · DOI
  6. 10.1109/78.960409 · DOI
  7. 10.1137/S0895479803374840 · DOI
  8. 10.1109/82.372870 · DOI
  9. 10.1016/0165-1684(95)00077-Q · DOI
  10. 10.1109/LSP.2006.874453 · DOI
  11. 10.1109/MSP.2005.1550194 · DOI
  12. 10.1006/acha.2000.0343 · DOI
  13. 10.1109/TSP.2005.859261 · DOI
  14. 10.1109/97.923042 · DOI
  15. 10.1109/ICIP.2003.1247137 · DOI
  16. 10.1109/78.995070 · DOI
  17. 10.1109/TSP.2006.890896 · DOI
  18. yu, 2006, design of hilbert transform pairs of wavelet bases via lmi optimization, Proc 16th Int Symp Mathematical Theory of Networks and Systems, 1793
  19. mallat, 1998, A Wavelet Tour of Signal Processing
  20. 10.1080/10556789908805766 · DOI
  21. 10.1109/TSP.2003.812833 · DOI

Cited by

Sorted by citations

  • $H^{\infty}$-Optimal Fractional Delay Filters

    Nagahara, M., & Yamamoto, Y. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2265678 · Cited by 15

    “Such filters have wide applications in signal processing, in cluding sampling rate conversion [1], [2], [3], nonuniform sampling [4], [5], wavelet transform [6], [7], digital mode ling of musical instruments [8], [9], to name a few.”
    Background

Metadata

Authors
Dumitrescu, B.
Affiliations
University of Bucharest (RO)
Corresponding author
Dumitrescu, B.
Venue
IEEE Transactions on Signal Processing
Published
2008-09
Volume
56
Issue
9
Pages
4255-4262
ISSN
1053-587X (ISSN-L)
OpenAlex
W2105153344
Cited by
15
References
0
Citations by year
2018: 1 · 2017: 1 · 2014: 1 · 2013: 3
FWCI
5.45
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Signal Processing (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Digital Filter Design and Implementation
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematical Analysis and Transform Methods
  • Physical Sciences › Computer Science › Signal Processing › Advanced Adaptive Filtering Techniques
Keywords
semidefinite programming, H-infinity optimization, dual-tree complex wavelet transform, FIR filters

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