Conference proceeding
An exponentially convergent adaptive algorithm for time-varying IIR filters
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, pp.2179-2183
11/2010
DOI: 10.1109/ACSSC.2010.5757937
Abstract
Conditions for exponential stability are established for a class of adaptive algorithms that estimate the parameters of a time-varying linear filter using a basis function approach. These algorithms are useful in situations calling for adaptive filters when the ideal filters vary at rates that cannot be considered slow, such as in the study of renal hemodynamics and for some mobile radio channels. Exponential convergence is established by extending a Lyapunov stability analysis for time-invariant adaptive IIR filters to the time-varying case.
Details
- Title: Subtitle
- An exponentially convergent adaptive algorithm for time-varying IIR filters
- Creators
- G A Williamson - Illinois Institute of TechnologyM Abu-Naser - Illinois Institute of TechnologyS Dasgupta - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, pp.2179-2183
- Publisher
- IEEE
- DOI
- 10.1109/ACSSC.2010.5757937
- ISSN
- 1058-6393
- eISSN
- 2576-2303
- Language
- English
- Date published
- 11/2010
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197279902771
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