DocumentCode
1217237
Title
On circularity
Author
Picinbono, Bernard
Author_Institution
Lab. des Signaux et Syst., Gif-sur-Yvette, France
Volume
42
Issue
12
fYear
1994
fDate
12/1/1994 12:00:00 AM
Firstpage
3473
Lastpage
3482
Abstract
Circularity is an assumption that was originally introduced for the definition of the probability distribution function of complex normal vectors. However, this concept can be extended in various ways for nonnormal vectors. The first purpose of the paper is to introduce and compare some possible definitions of circularity. From these definitions, it is also possible to introduce the concept of circular signals and to study whether or not the spectral representation of stationary signals introduces circular components. Therefore, the relationships between circularity and stationarity are analyzed in detail. Finally, the theory of linear mean square estimation for complex signals exhibits some connections with circularity, and it is shown that without this assumption, the estimation theory must be reformulated
Keywords
parameter estimation; random processes; signal representation; spectral analysis; vectors; circular signals; complex normal vectors; complex signals; estimation theory; linear mean square estimation; probability distribution function; spectral representation; stationary signals; Covariance matrix; Distribution functions; Estimation theory; Frequency domain analysis; Probability distribution; Random variables; Signal analysis; Signal processing; Time domain analysis; Vectors;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.340781
Filename
340781
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