DocumentCode
1309779
Title
Spherically Invariant Vector Random Fields in Space and Time
Author
Du, Juan ; Ma, Chunsheng
Author_Institution
Dept. of Stat., Kansas State Univ., Manhattan, KS, USA
Volume
59
Issue
12
fYear
2011
Firstpage
5921
Lastpage
5929
Abstract
This paper is concerned with spherically invariant or elliptically contoured vector random fields in space and/or time, which are formulated as scale mixtures of vector Gaussian random fields. While a spherically invariant vector random field may or may not have second-order moments, a spherically invariant second-order vector random field is determined by its mean and covariance matrix functions, just like the Gaussian one. This paper explores basic properties of spherically invariant second-order vector random fields, and proposes an efficient approach to develop covariance matrix functions for such vector random fields.
Keywords
Gaussian processes; covariance matrices; random processes; vectors; covariance matrix function; elliptically contoured vector random field; mean function; spherically invariant second-order vector random field; spherically invariant vector random fields; vector Gaussian random field; Covariance matrix; Linear matrix inequalities; Stochastic processes; Vectors; Covariance matrix function; Gaussian random field; cross covariance; direct covariance; elliptically contoured random field; spherically invariant stochastic process; variogram;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2011.2166391
Filename
6004842
Link To Document