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Suppression of transients in variable recursive digital filters with a novel and efficient cancellation method
Abstract
A new method for suppressing transients in recursive infinite impulse response (IIR) digital filters is proposed. The technique is based on modifying the state (delay) variables of the filter when coefficients are changed so that the filter enters a new state smoothly without transient attacks, as originally proposed by Zetterberg and Zhang (1988). In this correspondence, we modify the Zetterberg-Zhang algorithm to render it feasible for efficient implementation. We define a mean square error (MSE) measure for transients and determine the optimal transient suppressor to cancel the transients down to a desired level at the minimum complexity of implementation. The application of the method to all-pole and direct-form II (DF II) IIR filter sections is studied in detail. Time-varying recursive filtering with transient elimination is illustrated for tunable fractional delay filters and variable-bandwidth lowpass filters.
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All general IIR and allpass-based variable fractional delay filters have a common drawback of considerable transients appearing every time the filter is tuned.
“All general IIR and allpass-based VFD filters are having a common drawback, consisting of considerable transients appearing every time when the filter is tuned.”
From Low-Sensitivity Design of Allpass Based Fractional Delay Digital Filters (2011) · cites this paper as Valimaki & Laakso, 1998
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No references could be resolved yet.
Research works printed but not linked: 19
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Cited by
Sorted by citations
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
Self-citationLow-Sensitivity Design of Allpass Based Fractional Delay Digital Filters
Stoyanov, G., Nikolova, K., & Kawamat, M. (2011) · Digital Filters · doi:10.5772/15577 · Cited by 5
“Suppression of these transients is a difficult problem, several methods to solve it are discussed in (Valimaki & Laakso, 1998); (Valimaki & Laakso, 2001); (Makundi et al., 2002) and (Hachabiboĝlu et al., 2007), but publications on this topic are very few and a lot more remains to be done.”
Method
Metadata
- Authors
- Valimaki, V., & Laakso, T. I.
- Affiliations
- Aalto University (FI)
- ORCID
- Laakso, T.I.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1998
- Volume
- 46
- Issue
- 12
- Pages
- 3408-3414
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2126035948
- Cited by
- 45
- References
- 0
- Citations by year
- 2026: 1 · 2024: 1 · 2021: 1 · 2018: 2 · 2016: 1 · 2014: 2
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Signal Processing (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- 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 › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- transient suppression, IIR filters, all-pole filters, fractional delay filter, tunable filters
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