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
fDate :
4/1/1996 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
