Title
Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing
Abstract
We present a new approach for vector-sensor signal modelling and processing, based on the use of quaternion algebra. We introduce the concept of quaternionic signal and give some primary tools to characterize it. We then study the problem of vector-sensor array signals, and introduce a subspace method for wave separation on such arrays. For this purpose, we expose the extension of the Singular Value Decomposition (SVD) algorithm to the field of quaternions. We discuss in more details Singular Value Decomposition for matrices of Quaternions (SVDQ) and linear algebra over quaternions field. The SVDQ allows to calculate the best rank-α approximation of a quaternion matrix and can be used in subspace method for wave separation over vector-sensor array. As the SVDQ takes into account the relationship between components, we show that SVDQ is more efficient than classical SVD in polarized wave separation problem.
Year
DOI
Venue
2004
10.1016/j.sigpro.2004.04.001
Signal Processing
Keywords
Field
DocType
vector-sensor array signal,vector-sensor signal modelling,singular value decomposition,new tool,subspace method,vector-sensor signal processing,quaternion model for vector-sensor signal,singular value decomposition of quaternion matrix (svdq),quaternion matrix algebra,linear algebra,wave separation,classical svd,polarized wave separation,vector-sensor array,details singular value decomposition,wave separation problem,quaternion matrix,subspace method over quaternion field,signal processing,sensor array,quaternion algebra
Linear algebra,Singular value decomposition,Dual quaternion,Algebra,Matrix (mathematics),Quaternion,Quaternion algebra,Conversion between quaternions and Euler angles,Classical Hamiltonian quaternions,Mathematics
Journal
Volume
Issue
ISSN
84
7
Signal Processing
Citations 
PageRank 
References 
109
7.02
6
Authors
2
Search Limit
100109
Name
Order
Citations
PageRank
Nicolas Le Bihan125423.35
Jérôme MARS21107.38