The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Offset windowing for FIR fractional-sample delay
Abstract
Non-optimal FIR filters used for fractional-sample delay, despite their wideband nature, are shown to benefit significantly from application of windowing. Here simple raised-cosine windows prove to be very effective, particularly if they are cast as asymmetric modifications of their conventional forms. The offset von Hann window is surprisingly potent when the number of coefficients is large and window offset coincides with the fractional delay required of the overall filter.
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Citations
Cites
Interpolation in digital modems. II. Implementation and performance
Erup, L., Gardner, F. M., & Harris, R. A. (1993) · IEEE Transactions on Communications · doi:10.1109/26.231921 · Cited by 557
Evaluation of several variable FIR fractional-sample delay filters
Cain, G. D., Murphy, N. P., & Tarczynski, A. (2002) · Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.1994.389950 · Cited by 41
Self-citationHermanowicz, E., & Rojewski, M. (1994) · Electronics Letters · doi:10.1049/el:19940009 · Cited by 16
A recursive algorithm for the estimation of symbol timing in PSK burst modems
Sabel, L., & Cowley, W. G. (2003) · Globecom · doi:10.1109/glocom.1992.276463 · Cited by 4
Flagged first, then by citations
Research works printed but not linked: 1
- tarczynski, 1994, Design of IIR fractional-sample delay filters, Second Int'l Symposium on DSP for Communication Systems
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Sorted by citations
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
Fractional Delay Filters—Design and Applications
Välimäki, V., & Laakso, T. I. (2001) · Information Technology: Transmission, Processing, and Storage · doi:10.1007/978-1-4615-1229-5_20 · Cited by 32
$H^{\infty}$-Optimal Fractional Delay Filters
Nagahara, M., & Yamamoto, Y. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2265678 · Cited by 15
“This ideal low-pass filter is however not realizab le because of its non-causality and instability, and hence man y studies have focused their attention on approximating the i deal filter by, for example, windowed sinc functions [15], [16], maximally-flat FIR approximation [17], [18], [19], [20], [2 1], all-pass appro…”
Background
Metadata
- Authors
- Cain, G. D., Yardim, A., & Henry, P.
- Affiliations
- University of Westminster (GB)
- ESIEE Paris (FR)
- Venue
- 1995 International Conference on Acoustics, Speech, and Signal Processing
- Publisher
- IEEE
- Published
- 2002-11-19
- Volume
- 2
- Pages
- 1276-1279
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2136694685
- Cited by
- 28
- References
- 4
- Citations by year
- 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 3 · 2012: 4
- FWCI
- 1.26
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Acoustics Speech and Signal Processing (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 › Mathematics › Applied Mathematics › Mathematical Analysis and Transform Methods
- Keywords
- FIR filters, windowing, filter design
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