University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Fast independent component analysis algorithm for quaternion valued signals

Javidi, S, Took, CC and Mandic, DP (2011) Fast independent component analysis algorithm for quaternion valued signals IEEE Transactions on Neural Networks, 22 (12 PAR). pp. 1967-1978.

Full text not available from this repository.


An extension of the fast independent component analysis algorithm is proposed for the blind separation of both ℚ-proper and ℚ-improper quaternion-valued signals. This is achieved by maximizing a negentropy-based cost function, and is derived rigorously using the recently developed calculus in order to implement Newton optimization in the augmented quaternion statistics framework. It is shown that the use of augmented statistics and the associated widely linear modeling provides theoretical and practical advantages when dealing with general quaternion signals with noncircular (rotation-dependent) distributions. Simulations using both benchmark and real-world quaternion-valued signals support the approach. © 2011 IEEE.

Item Type: Article
Authors :
Javidi, S
Took, CC
Mandic, DP
Date : December 2011
DOI : 10.1109/TNN.2011.2171362
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:37
Last Modified : 17 May 2017 12:37

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