DocumentCode
866972
Title
Signal modeling with self-similar α-stable processes: the fractional Levy stable motion model
Author
Kogon, Stephen M. ; Manolakis, Dimitris G.
Author_Institution
Lab. of Digital Signal Process., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
44
Issue
4
fYear
1996
fDate
4/1/1996 12:00:00 AM
Firstpage
1006
Lastpage
1010
Abstract
The purpose of the correspondence is the introduction of fractional Levy stable motion (fLsm) as a model for signals with long-memory and high variability commonly encountered in natural processes. We present a concise description of this model from a signal processing viewpoint and its successful application to real-world infrared signals for the purpose of resolution enhancement via stochastic interpolation
Keywords
interpolation; signal resolution; stochastic processes; fLsm; fractional Levy stable motion model; high variability signals; long-memory signals; natural processes; real-world infrared signals; resolution enhancement; self-similar α-stable processes; signal modeling; signal processing; stochastic interpolation; Autoregressive processes; Discrete wavelet transforms; Image processing; Mathematics; Multiresolution analysis; Signal processing; Signal processing algorithms; Signal resolution; Space technology; Stochastic processes;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.492557
Filename
492557
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