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
Link To Document :
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