NDLI: Some considerations for statistical characterization of nonstationary random processes

Content Provider	IEEE Xplore Digital Library
Author	Therrien, C.W.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA (Therrien, C.W.)
Abstract	In this paper, we cite the use of the time-dependent correlation function for nonstationary discrete-time random processes, its 2D spectral representation, and the relation to other common time-frequency descriptions of nonstationary random processes. We show a simple distinction between a periodic process and a cyclostationary process in terms of the correlation and 2D spectral density function. We further use the time-dependent correlation functions to easily prove properties about linear prediction for general nonstationary periodic processes and cyclostationary processes. Finally we cite the problems inherent in developing general white noise-driven causal linear models (innovations representations) and conjecture about necessary conditions on the 2D spectral density for their realization.
Starting Page	1554
Ending Page	1558
File Size	275562
Page Count	5
File Format	PDF
ISBN	0780375769
ISSN	10586393
DOI	10.1109/ACSSC.2002.1197039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Random processes Density functional theory Equations Time frequency analysis White noise Speech processing Predictive models Autocorrelation Power generation Fourier transforms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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