Cited by 45Digital Filter Design and ImplementationAdvanced Adaptive Filtering TechniquesAnalog and Mixed-Signal Circuit Design

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Suppression of transients in variable recursive digital filters with a novel and efficient cancellation method

Valimaki, V., Laakso, T.I.·1998·IEEE Transactions on Signal Processing

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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Crossref · 10.1109/78.735314

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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

Citations

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Research works printed but not linked: 19

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  3. jot, 1995, digital signal processing issues in the context of binaural and transaural stereophony, 98th AES Convention
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  6. proakis, 1992, Digital Signal Processing Principles Algorithms and Applications, 510
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  8. jury, 1964, Theory and Application of the $z$ -Transform Method, 298
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  11. va¨lima¨ki, 1995, Discrete-time modeling of acoustic tubes using fractional delay filters, 193
  12. 10.1109/ICASSP.1995.480575 · DOI
  13. va¨lima¨ki, 1995, elimination of transients in time-varying allpass fractional delay filters with application to digital waveguide modeling, Proc 1995 Int Comput Music Conf, 327
  14. 10.2307/3680911 · DOI
  15. mourjopoulos, 1990, theory and real-time implementation of time-varying digital audio filters, J Audio Eng Soc, 38, 523
  16. va¨lima¨ki, 1996, physical modeling of plucked string instruments with application to real-time sound synthesis, J Audio Eng Soc, 44, 331
  17. 10.1109/ICASSP.1986.1168792 · DOI
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Metadata

Authors
Valimaki, V., & Laakso, T. I.
Affiliations
Aalto University (FI)
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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