DocumentCode
269883
Title
Sampling of Stochastic Operators
Author
Pfander, Götz E. ; Zheltov, Pavel
Author_Institution
Sch. of Eng. & Sci., Jacobs Univ. Bremen, Bremen, Germany
Volume
60
Issue
4
fYear
2014
fDate
Apr-14
Firstpage
2359
Lastpage
2372
Abstract
We develop sampling methodology aimed at identifying stochastic operators that satisfy a support size restriction on the autocorrelation of the operators stochastic spreading function. The data that we use to reconstruct the operator (or, in some cases only the autocorrelation of the spreading function) is based on the response of the unknown operator to a known, deterministic test signal.
Keywords
correlation methods; signal sampling; stochastic systems; autocorrelation; deterministic test signal; size restriction; stochastic operator identification; stochastic operator sampling; stochastic spreading function; Correlation; Fourier transforms; Modulation; Random processes; Scattering; Stochastic processes; Time-frequency analysis; Gabor frames; Haar property; Stochastic; autocorrelation; delta train; operator sampling; scattering function; spreading function; time-frequency analysis;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2014.2301444
Filename
6717003
Link To Document