The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Optimal design of fractional delay filters
Abstract
Fractional delay filters are those that are designed to delay the input signals by a fractional amount of the sampling time. They are widely used in digital communications, speech processing, digital modeling of musical instruments, etc. Since the delay is fractional, the intersample behavior of input signals become crucial. While the conventional design bases itself on the full band-limiting assumption, the present paper applies the modern sampled-data H/sup /spl infin// control which aims at restoring the intersample behavior. It is shown that the optimal design problem is reducible to a norm-equivalent discrete-time problem. A numerical example is shown to illustrate the advantage of the proposed method.
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This assumption covers many typical cases and variations by some robustness properties.
“While this assumption may appear somewhat restrictive, it covers many typical cases and variations by some robustness properties [31].”
From $H^{\infty}$-Optimal Fractional Delay Filters (2013) · cites this paper as [31]
Citations
Cites
Optimal Sampled-Data Control Systems
Chen, T., & Francis, B. A. (1995) · doi:10.1007/978-1-4471-3037-6 · Cited by 2,217
Splitting the unit delay [FIR/all pass filters design]
Laakso, T. I., Valimaki, V., Karjalainen, M., & Laine, U. K. (1996) · IEEE Signal Processing Magazine · doi:10.1109/79.482137 · Cited by 1,168
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Research works printed but not linked: 7
- 10.1109/TAC.1978.1101743 · DOI
- 10.1016/0167-6911(93)90119-Q · DOI · Paper page
- va?lima?ki, 2000, Principles of fractional delay filters, ICASSP'00 IEEE, 3870
- nagahara, 2001, Design for digital communication systems via sampled data H ? control, Proceeding of IFAC Workshop on Periodic Control Systems, 211
- 10.1109/CDC.2001.914577 · DOI
- 10.1109/9.481516 · DOI
- 10.1109/9.286247 · DOI
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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
“filter is obtained [31], [32]: Theorem 2: Assume that is given by (15).”
BackgroundMethodSelf-citationA Simple Ladder Realization of Maximally Flat Allpass Fractional Delay Filters
Koshita, S., Abe, M., & Kawamata, M. (2014) · IEEE Transactions on Circuits and Systems II: Express Briefs · doi:10.1109/tcsii.2013.2296131 · Cited by 5
Metadata
- Authors
- Nagahara, M., & Yamamoto, Y.
- Affiliations
- Kyoto University (JP)
- Venue
- 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)
- Publisher
- IEEE
- Published
- 2004-07-08
- Volume
- 6
- Pages
- 6539-6544
- ISSN
- 0191-2216 (ISSN-L)
- OpenAlex
- W1502389173
- Cited by
- 15
- References
- 2
- Citations by year
- 2013: 1 · 2012: 1
- FWCI
- 1.46
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Conference on Decision and Control (CDC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Digital Filter Design and Implementation
- Physical Sciences › Computer Science › Signal Processing › Advanced Adaptive Filtering Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- fractional delay filter, filter optimization, intersample behavior, digital signal processing
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