On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.

The strict Cauchy-Riemann-Fueter (CRF) analyticity conditions establish that only linear quaternion-valued functions are analytic, prohibiting the development of quaternion-valued nonlinear adaptive filters for the recurrent neural network architecture (RNN). In this work, the requirement of local...

Full description

Bibliographic Details
Main Authors: Che Ujang, Bukhari, Took, Clive Cheong, Mandic, Danilo P.
Format: Conference or Workshop Item
Language:English
English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/31822/1/31822.pdf
_version_ 1825947975113768960
author Che Ujang, Bukhari
Took, Clive Cheong
Mandic, Danilo P.
author_facet Che Ujang, Bukhari
Took, Clive Cheong
Mandic, Danilo P.
author_sort Che Ujang, Bukhari
collection UPM
description The strict Cauchy-Riemann-Fueter (CRF) analyticity conditions establish that only linear quaternion-valued functions are analytic, prohibiting the development of quaternion-valued nonlinear adaptive filters for the recurrent neural network architecture (RNN). In this work, the requirement of local analyticity in gradient based learning is exercised and proposes to use the local analyticity condition (LAC) to introduce quaternion-valued nonlinear feedback adaptive filters. The introduced class of algorithms make full use of quaternion algebra and provide generic extensions of the corresponding real and complex solutions. Simulations in the prediction setting support the analysis presented.
first_indexed 2024-03-06T08:21:37Z
format Conference or Workshop Item
id upm.eprints-31822
institution Universiti Putra Malaysia
language English
English
last_indexed 2024-03-06T08:21:37Z
publishDate 2012
record_format dspace
spelling upm.eprints-318222014-08-04T08:22:15Z http://psasir.upm.edu.my/id/eprint/31822/ On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering. Che Ujang, Bukhari Took, Clive Cheong Mandic, Danilo P. The strict Cauchy-Riemann-Fueter (CRF) analyticity conditions establish that only linear quaternion-valued functions are analytic, prohibiting the development of quaternion-valued nonlinear adaptive filters for the recurrent neural network architecture (RNN). In this work, the requirement of local analyticity in gradient based learning is exercised and proposes to use the local analyticity condition (LAC) to introduce quaternion-valued nonlinear feedback adaptive filters. The introduced class of algorithms make full use of quaternion algebra and provide generic extensions of the corresponding real and complex solutions. Simulations in the prediction setting support the analysis presented. 2012 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/31822/1/31822.pdf Che Ujang, Bukhari and Took, Clive Cheong and Mandic, Danilo P. (2012) On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering. In: IEEE International Conference on Acoustics, Speech and Signal Processing , 25-31 Mar. 2012, Kyoto, Japan . (pp. 2117-2120). 10.1109/ICASSP.2012.6288329 English
spellingShingle Che Ujang, Bukhari
Took, Clive Cheong
Mandic, Danilo P.
On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.
title On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.
title_full On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.
title_fullStr On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.
title_full_unstemmed On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.
title_short On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.
title_sort on quaternion analyticity enabling quaternion valued nonlinear adaptive filtering
url http://psasir.upm.edu.my/id/eprint/31822/1/31822.pdf
work_keys_str_mv AT cheujangbukhari onquaternionanalyticityenablingquaternionvaluednonlinearadaptivefiltering
AT tookclivecheong onquaternionanalyticityenablingquaternionvaluednonlinearadaptivefiltering
AT mandicdanilop onquaternionanalyticityenablingquaternionvaluednonlinearadaptivefiltering