DocumentCode
1900338
Title
Generalized complex elliptical distributions
Author
Ollila, Esa ; Koivunen, Visa
Author_Institution
Signal Process. Lab., Helsinki Univ. of Technol., Finland
fYear
2004
fDate
18-21 July 2004
Firstpage
460
Lastpage
464
Abstract
We introduce a new class of distributions called generalized complex elliptically symmetric distributions. Several distributions commonly used in the literature, for example, the multivariate complex normal and Cauchy and the generalized complex normal distribution, are prominent members of this class. The treatment covers both proper and improper random vectors and goes beyond second-order concepts in defining the distribution model. Some properties of these distributions are studied and illustrative examples of their applications in multichannel signal processing are presented such as tests for circularity.
Keywords
normal distribution; random processes; signal processing; telecommunication channels; GCES; generalized complex elliptically symmetric distribution; multichannel signal processing; random vector; second-order concept; Application software; Array signal processing; Covariance matrix; Laboratories; Probability density function; Sensor arrays; Signal processing; Spectral analysis; Symmetric matrices; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2004
Print_ISBN
0-7803-8545-4
Type
conf
DOI
10.1109/SAM.2004.1502990
Filename
1502990
Link To Document