The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Explicity formulas for weighting coefficients of maximally flat tunable FIR delays
Abstract
Explicit formulas are derived for the weighting coefficients of maximally flat tunable FIR delayers based on the design of Ko and Lim and a link with another existing method for this purpose is demonstrated. A scheme is also presented for evaluating these coefficients with the minimum possible computation.
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Cites
A new variable fractional sample delay filter with nonlinear interpolation
Liu, G.-S., & Wei, C.-H. (1992) · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · doi:10.1109/82.205818 · Cited by 100
Approximation of a variable-length delay line by using tapped delay line processing
Ko, C. C., & Lim, Y. C. (1988) · Signal Processing · doi:10.1016/0165-1684(88)90094-1 · Cited by 21
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Research works printed but not linked: 1
- Ko, 1988, 14, 363
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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 Filter Design Based on Truncated Lagrange Interpolation
Valimaki, V., & Haghparast, A. (2007) · IEEE Signal Processing Letters · doi:10.1109/lsp.2007.898856 · Cited by 66
Pei, S.-C., & Wang, P.-H. (2001) · IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications · doi:10.1109/81.917976 · Cited by 53
Results on Maximally Flat Fractional-Delay Systems
Samadi, S., Ahmad, M. O., & Swamy, M. N. S. (2004) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2004.836848 · Cited by 51
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
Analytical approximations of fractional delays: Lagrange interpolators and allpass filters
Tassart, S., & Depalle, P. (2002) · 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1997.599673 · Cited by 27
$H^{\infty}$-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…”
BackgroundAnalysis of Root Displacement Interpolation Method for Tunable Allpass Fractional-Delay Filters
Hacihabiboglu, H., Gunel, B., & Kondoz, A. M. (2007) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.897916 · Cited by 12
“Most frequently used fractional-delay filters are finite-impulse-response (FIR) filters based on Lagrange interpolation [8], [9].”
MethodClosed-form design of allpass fractional delay filters
Pei, S.-C., & Wang, P.-H. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2002.5744913 · Cited by 1
Metadata
- Authors
- Hermanowicz, E.
- Affiliations
- Gdańsk University of Technology (PL)
- Corresponding author
- Hermanowicz, E.
- Venue
- Electronics Letters
- Published
- 1992-09-24
- Volume
- 28
- Issue
- 20
- Pages
- 1936-1937
- ISSN
- 0013-5194 (ISSN-L)
- 1350-911X
- OpenAlex
- W2086642057
- Cited by
- 93
- References
- 2
- Citations by year
- 2026: 1 · 2025: 4 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 6 · 2016: 3 · 2015: 1 · 2014: 4 · 2013: 5 · 2012: 4
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronics Letters (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Digital Filter Design and Implementation
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Computer Science › Signal Processing › Advanced Adaptive Filtering Techniques
- Keywords
- delay lines, maximally flat filters, weighting factors, explicit formula, computational efficiency
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