Mean square convergence of adaptive envelope-constrained filtering
UNSPECIFIED (2002) Mean square convergence of adaptive envelope-constrained filtering. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 50 (6). pp. 1429-1437. ISSN 1053-587XFull text not available from this repository.
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|
|Number of Pages:||9|
|Page Range:||pp. 1429-1437|
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