NDLI: A split quaternion nonlinear adaptive filter

Content Provider	IEEE Xplore Digital Library
Author	Ujang, C.A.B.C. Took, C.C. Kavcic, A. Mandic, D.P.
Copyright Year	2009
Description	Author affiliation: Electrical and Electronic Engineering Department, Imperial College London, SW7 2BT, UK (Ujang, C.A.B.C.; Took, C.C.; Mandic, D.P.) \|\| Department of Electrical Engineering, University of Hawaii, 96822, USA (Kavcic, A.)
Abstract	A split quaternion learning algorithm for the training of nonlinear finite impulse response filters for the modelling of hypercomplex signals is proposed. A rigorous derivation takes into account the non-commutativity of the quaternion product, an aspect not taken into account in the existing nonlinear architectures, such as the Quaternion Multilayer Perceptron (QMLP). It is shown that the additional information present within the proposed algorithm provides an improved performance over QMLP. Simulation on both benchmark and real-world signals support the approach.
Starting Page	1745
Ending Page	1748
File Size	359015
Page Count	4
File Format	PDF
ISBN	9781424423538
ISSN	15206149
DOI	10.1109/ICASSP.2009.4959941
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-19
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quaternions Adaptive filters Machine learning algorithms Multilayer perceptrons Nonlinear equations Multidimensional systems Finite impulse response filter Machine learning Signal processing Neural networks Cauchy-Riemann-Fueter equation Machine Learning Quaternion Multilayer Perceptron
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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