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Mean square convergence of adaptive envelope-constrained filtering
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UNSPECIFIED (2002) Mean square convergence of adaptive envelope-constrained filtering. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 50 (6). pp. 1429-1437. ISSN 1053-587X
Full text not available from this repository.Abstract
A new type of adaptive filtering scheme for solving an envelope constrained filter design problem in a stochastic environment has been presented. The steady-state stochastic analysis of the adaptive scheme is established in the sense of mean square. It is shown that if a given initial point is in a neighborhood of the origin, the adaptive scheme with a fixed step-size produces a filter that converges in the mean square sense to within an upper boundary of the noise-free optimum filter. Numerical examples involving pulse compression and channel equalization are presented to illustrate the convergence characteristics of the adaptive scheme operating in a stochastic environment.
| Item Type: | Journal Article |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Journal or Publication Title: | IEEE TRANSACTIONS ON SIGNAL PROCESSING |
| Publisher: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| ISSN: | 1053-587X |
| Date: | June 2002 |
| Volume: | 50 |
| Number: | 6 |
| Number of Pages: | 9 |
| Page Range: | pp. 1429-1437 |
| Publication Status: | Published |
| URI: | http://wrap.warwick.ac.uk/id/eprint/10915 |
Data sourced from Thomson Reuters' Web of Knowledge
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