Imperial College London
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ProfessorDaniloMandic

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Machine Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kanna:2016:10.1109/LSP.2016.2547219,
author = {Kanna, S and Mandic, DP},
doi = {10.1109/LSP.2016.2547219},
journal = {IEEE Signal Processing Letters},
pages = {722--726},
title = {Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies},
url = {http://dx.doi.org/10.1109/LSP.2016.2547219},
volume = {23},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A novel methodology to bound the steady-state mean square performance of the diffusion complex least mean square (D-CLMS) and the diffusion widely linear (augmented) CLMS (D-ACLMS) algorithm is proposed. This is achieved by exploiting the almost identical nature of the steady-state filter weights at all nodes. The proposed approach allows for the consideration of the second-order terms in the recursion for the weight error covariance matrix, without compromising the mathematical tractability of the problem. The closed form expressions for the mean square deviation (MSD) and excess mean square error (EMSE) for both the D-CLMS and D-ACLMS allow for the performance of the algorithms to be quantified as a function of the noncircularity of the input data.
AU  - Kanna,S
AU  - Mandic,DP
DO  - 10.1109/LSP.2016.2547219
EP  - 726
PY  - 2016///
SN  - 1558-2361
SP  - 722
TI  - Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies
T2  - IEEE Signal Processing Letters
UR  - http://dx.doi.org/10.1109/LSP.2016.2547219
VL  - 23
ER  -
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