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H∞ Design of Periodically Nonuniform Interpolation and Decimation for Non-Band-Limited Signals
Open accessAbstract
In this paper, we consider signal interpolation of discrete-time signals which are decimated nonuniformly. A conventional interpolation method is based on the sampling theorem, and the resulting system consists of an ideal filter with complex-valued coefficients. While the conventional method assumes band limitation of signals, we propose a new method by sampled-data H∞ optimization. By this method, we can remove the band-limiting assumption and the optimal filter can be with real-valued coefficients. Moreover, we show that without band-limited assumption, there can be the optimal decimation patterns among ones with the same ratio. By examples, we show the effectiveness of our method.
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The signal subspace WL2 is much wider than that of band-limited L2 signals.
“Note that the signal subspace WL 2 is much wider than that of band-limited L 2 signals [42].”
From $H^{\infty}$-Optimal Fractional Delay Filters (2013) · cites this paper as [42]
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Research works printed but not linked: 19
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$H^{\infty}$-Optimal Fractional Delay Filters
Nagahara, M., & Yamamoto, Y. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2265678 · Cited by 15
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Metadata
- Authors
- Nagahara, M., Ogura, M., & Yamamoto, Y.
- Affiliations
- Kyoto University (JP)
- Texas Tech University (US)
- Venue
- SICE Journal of Control, Measurement, and System Integration
- Publisher
- Informa UK Limited
- Published
- 2011-09-01
- Volume
- 4
- Issue
- 5
- Pages
- 341-348
- ISSN
- 1882-4889 (ISSN-L)
- 1884-9970
- OpenAlex
- W2964024106
- Cited by
- 6
- References
- 0
- Citations by year
- 2022: 1 · 2014: 2 · 2013: 2
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- SICE Journal of Control Measurement and System Integration (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 › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- discrete-time signals, ideal filters
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