Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30519
Title: Mean square convergence of adaptive envelope-constrained filtering
Authors: Tseng, CH
Teo, KL
Cantoni, A
Keywords: Adaptive EC filter
Channel equalization
FIR filter
Gaussian noise
MSE
Pulse compression
SNR
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on signal processing, 2002, v. 50, no. 6, p. 1429-1437 How to cite?
Journal: IEEE transactions on signal processing 
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.
URI: http://hdl.handle.net/10397/30519
ISSN: 1053-587X
EISSN: 1941-0476
DOI: 10.1109/TSP.2002.1003066
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