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A novel adaptive algorithm for the blind separation of periodic sources

Jafari, MG and Chambers, JA (2004) A novel adaptive algorithm for the blind separation of periodic sources

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Abstract

An adaptive algorithm for the blind separation of periodic sources is proposed in this paper. The method uses only the second order statistics of the data, and exploits the periodic nature of the source signals. Simulation results show that the proposed approach has the ability to restore statistical independence, and its performance is comparable to that of a well established, higher order, blind source separation method.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Jafari, MGUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 1 December 2004
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 17 May 2017 13:27
URI: http://epubs.surrey.ac.uk/id/eprint/839253

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