Informatics and Applications
2017, Volume 11, Issue 3, pp 18-26
SEGMENTATION OF NONSTATIONARY SIGNALS USING STOCHASTIC CHARACTERISTICS OF THE WINDOW VARIANCE
- M. A. Dranitsyna
- T. V. Zakharova
Abstract
Signal or response partitioning (i. e., signal segmentation) is of great interest, e. g., for biomedical research. Signal segmentation, being an essential part ofsignal processing, may serve as a tool for advanced signal interpretation and data classification. Segmentation of nonstationary signals with a small signal-to-noise ratio is a particulary complicated task. The paper is mainly devoted to exploration of the window variance noise component as a random variable for the proposed signal models. Some stochastic characteristics of the window variance noise components are investigated in accordance with the models. Theoretical findings are consistent with the previously obtained empirical characteristics of the window variance noise component and are supposed to be of potential use for signal segmentation and prediction.
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[+] About this article
Title
SEGMENTATION OF NONSTATIONARY SIGNALS USING STOCHASTIC CHARACTERISTICS OF THE WINDOW VARIANCE
Journal
Informatics and Applications
2017, Volume 11, Issue 3, pp 18-26
Cover Date
2017-09-30
DOI
10.14357/19922264170302
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
window variance; signal model
Authors
M. A. Dranitsyna  and T. V. Zakharova , 
Author Affiliations
Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University, 1-52 Leninskiye Gory, GSP-1, Moscow 119991, Russian Federation
Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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