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Fusion of heterogeneous data sources: A quaternionic approach

Took, CC and Mandic, D (2008) Fusion of heterogeneous data sources: A quaternionic approach

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Abstract

Sequential fusion of three- and four- dimensional heterogeneous data is achieved in the quaternion space ℍ. This way, data from multiple sensors are combined in order to achieve "improved accuracies" and more specific inferences that could not be performed by the use of only a single sensor. To this end, the quaternion LMS (QLMS) is proposed for the online fusion of hypercomplex data within the "data fusion via vector spaces" framework. Case studies on real-world signals such as environmental and financial time series are provided to support the proposed approach. ©2008 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Took, CCUNSPECIFIEDUNSPECIFIED
Mandic, DUNSPECIFIEDUNSPECIFIED
Date : 2008
Identification Number : https://doi.org/10.1109/MLSP.2008.4685523
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:37
Last Modified : 17 May 2017 12:37
URI: http://epubs.surrey.ac.uk/id/eprint/836048

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