Adaptive FIR filtering based on bounded error constraints

Konstantinos Tsakalis; Michael Deisher; Andreas Spanias

doi:10.1109/ACSSC.1992.269266

Adaptive FIR filtering based on bounded error constraints

Konstantinos Tsakalis, Michael Deisher, Andreas Spanias

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we examine the performance of adaptive FIR algorithms in the presence of bounded disturbances. In particular, we examine adaptive algorithms based on gradient MSE estimators, gradient estimators with dead-zone thresholds, and Set Membership estimators. The paper starts with a simple example of bursting phenomenon and continues by describing the algorithms and their properties. The paper also gives analytical results on the performance of these estimators and closes by proposing an algorithm that provides both MSE and instantaneous maximum amplitude error (in the limsup sense) performance guarantees.

Original language	English (US)
Title of host publication	Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992
Publisher	IEEE Computer Society
Pages	15-19
Number of pages	5
ISBN (Electronic)	0818631600
DOIs	https://doi.org/10.1109/ACSSC.1992.269266
State	Published - 1992
Event	26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992 - Pacific Grove, United States Duration: Oct 26 1992 → Oct 28 1992

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Conference

Conference	26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992
Country/Territory	United States
City	Pacific Grove
Period	10/26/92 → 10/28/92

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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10.1109/ACSSC.1992.269266

Cite this

Tsakalis, K., Deisher, M., & Spanias, A. (1992). Adaptive FIR filtering based on bounded error constraints. In Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992 (pp. 15-19). Article 269266 (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.1992.269266

Adaptive FIR filtering based on bounded error constraints. / Tsakalis, Konstantinos; Deisher, Michael; Spanias, Andreas.
Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992. IEEE Computer Society, 1992. p. 15-19 269266 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tsakalis, K, Deisher, M & Spanias, A 1992, Adaptive FIR filtering based on bounded error constraints. in Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992., 269266, Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 15-19, 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992, Pacific Grove, United States, 10/26/92. https://doi.org/10.1109/ACSSC.1992.269266

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AB - In this paper, we examine the performance of adaptive FIR algorithms in the presence of bounded disturbances. In particular, we examine adaptive algorithms based on gradient MSE estimators, gradient estimators with dead-zone thresholds, and Set Membership estimators. The paper starts with a simple example of bursting phenomenon and continues by describing the algorithms and their properties. The paper also gives analytical results on the performance of these estimators and closes by proposing an algorithm that provides both MSE and instantaneous maximum amplitude error (in the limsup sense) performance guarantees.

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Adaptive FIR filtering based on bounded error constraints

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