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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.
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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 | ||||
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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 | ||||
Official Date: | June 2002 | ||||
Dates: |
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Volume: | 50 | ||||
Number: | 6 | ||||
Number of Pages: | 9 | ||||
Page Range: | pp. 1429-1437 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
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