University of Surrey

Test tubes in the lab Research in the ATI Dance Research

New natural gradient algorithm for cyclostationary sources

Jafari, MG, Alty, SR and Chambers, JA (2004) New natural gradient algorithm for cyclostationary sources IEE Proceedings: Vision, Image and Signal Processing, 151 (1). pp. 62-68.

Full text not available from this repository.


A new natural gradient type algorithm (NGA) for the separation of cyclostationary sources is introduced. Based on the interpretation of blind source separation (BSS) as a two-stage process, including prewhitening and rotation, the cyclostationary NGA (CSNGA) algorithm is constructed such that it also ensures that the recovered sources are decorrelated in the cyclostationary sense. The method is generalised to the case of complex valued source signals, and modified so that adequate algorithm performance is attained even when only one source cycle frequency is known. The properties of the new algorithm are investigated when additive white Gaussian noise is present, and it is found that, in general, the CSNGA approach improves the convergence properties of the natural gradient algorithm. Computer simulations support the validity of the approach.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Jafari, MG
Alty, SR
Date : 1 February 2004
DOI : 10.1049/ip-vis:20040305
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 24 Jan 2020 23:57

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800