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A class of quaternion valued affine projection algorithms

Jahanchahi, C, Cheong Took, C and Mandic, DP (2013) A class of quaternion valued affine projection algorithms Signal Processing.

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The strictly linear quaternion valued affine projection algorithm (QAPA) and its widely linear counterpart (WLQAPA) are introduced, in order to provide fast converging stochastic gradient learning in the quaternion domain, for the processing of both second order circular (proper) and second order noncircular (improper) signals. This is achieved based on the recent advances in augmented quaternion statistics, which employs all second order information available, together with the associated widely linear models and through performing rigorous gradient calculation (HR-calculus). Further, mean square error analysis is performed based on the energy conservation principle, which provides a theoretical justification for the WLQAPA offering enhanced steady state performance for quaternion noncircular (improper) signals, a typical case in real world scenarios. Simulations on benchmark circular and noncircular signals, and on noncircular real world 4D wind and 3D body motion data support the analysis.

Item Type: Article
Divisions : Surrey research (other units)
Authors : Jahanchahi, C, Cheong Took, C and Mandic, DP
Date : 4 January 2013
DOI : 10.1016/j.sigpro.2012.12.019
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 13:48
Last Modified : 24 Jan 2020 12:02

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