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