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Title: New normalized constant modulus algorithms with relaxation
Authors: Tanrikulu, Oguz
Constantinides, A.G.
Chambers, Jonathon
Keywords: Adaptive equalizers
Blind algorithms
Stationary points
Issue Date: 1997
Publisher: © IEEE
Citation: TANRIKULU, O., CONSTANTINIDES, A.G. and CHAMBERS, J., 1997. New normalized constant modulus algorithms with relaxation. IEEE Signal Processing Letters, 4 (9), pp. 256-258
Abstract: A new normalized constant modulus algorithm is proposed that has a more desirable error performance surface (EPS) than the existing constant modulus blind equalization algorithms. We show that for an autoregressive channel, a well-known class of undesirable local solutions (ULSs) does not exist. The EPSs and convergence of the parameters are shown for a number of channels for which well-known algorithms are known to possess ULSs
Description: This is an article from the journal, IEEE Signal Processing Letters [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/97.623042
URI: https://dspace.lboro.ac.uk/2134/5864
ISSN: 1070-9908
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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