NDLI: A real time tracker of complex circularity

Content Provider	IEEE Xplore Digital Library
Author	Kanna, S. Douglas, S.C. Mandic, D.P.
Copyright Year	2014
Description	Author affiliation: Dept. of EEE, Imperial Coll. London, London, UK (Kanna, S.; Mandic, D.P.) \|\| Dept. of EE, Southern Methodist Univ., Dallas, TX, USA (Douglas, S.C.)
Abstract	A new insight into the relationship between the complex circularity quotient and the coefficient of a linear minimum mean square estimator (LMMSE) which estimates a complex random variable from its complex conjugate is established. An adaptive version of this estimator, suitable for real time tracking of the degree of complex circularity is proposed based on the complex least mean square (CLMS) algorithm. For Gaussian data, the mean and mean square analyses show the effect of data non-circularity on the stability bounds of the real time circularity tracker. The concept is verified over simulations on both synthetic single- and multi-channel data and on real world wind signals with varying degrees of circularity.
Starting Page	129
Ending Page	132
File Size	568675
Page Count	4
File Format	PDF
ISBN	9781479914814
ISSN	2151870X
DOI	10.1109/SAM.2014.6882357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Real-time systems Random variables Stability analysis Signal processing Conferences Wind speed multi-channel signals Complex random variables complex circularity circularity coefficient complex least mean square (CLMS)
Content Type	Text
Resource Type	Article

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