Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69741
Title: Convergence analysis of constrained joint adaptation in recording channels
Authors: Chieh, L.S.
Mathew, G. 
Keywords: Adaptation
Adaptive equalization
Constraints
LMS algorithm
Mean-square error
Partial response channels
PR target
Recording channels
Issue Date: 2005
Source: Chieh, L.S.,Mathew, G. (2005). Convergence analysis of constrained joint adaptation in recording channels. IFAC Proceedings Volumes (IFAC-PapersOnline) 16 : 119-124. ScholarBank@NUS Repository.
Abstract: Although partial response (PR) equalization employing the linearly constrained least-mean-square (LCLMS) algorithm is widely used in recording channels, there is no literature on its convergence analysis. Existing analyses of the LMS algorithm assume that the input signals are jointly Gaussian, which is an invalid assumption for PR equalization with binary input. in this paper, we present a convergence analysis of the LCLMS algorithm, without the Gaussian assumption. An approximate expression is derived for the misadjustment. It is shown that the step-size range required to guarantee stability is larger for binary data compared to Gaussian data. Copyright © 2005 IFAC.
Source Title: IFAC Proceedings Volumes (IFAC-PapersOnline)
URI: http://scholarbank.nus.edu.sg/handle/10635/69741
ISBN: 008045108X
ISSN: 14746670
Appears in Collections:Staff Publications

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