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
Issue Date: 2002
Source: IEEE transactions on signal processing, 2002, v. 50, no. 6, p. 1429-1437
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.
Keywords: Adaptive EC filter
Channel equalization
FIR filter
Gaussian noise
MSE
Pulse compression
SNR
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on signal processing 
ISSN: 1053-587X
EISSN: 1941-0476
DOI: 10.1109/TSP.2002.1003066
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

4
Last Week
0
Last month
0
Citations as of Aug 3, 2020

WEB OF SCIENCETM
Citations

3
Last Week
0
Last month
1
Citations as of Aug 7, 2020

Page view(s)

7,014
Last Week
0
Last month
Citations as of Aug 5, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.