DocumentCode
2849783
Title
Recurrent modeling and processing of signals based on Gibbs model
Author
Vasyukov, V.N. ; Spector, A.A.
Author_Institution
Novosibirsk State Univ., Russia
fYear
1998
fDate
1998
Firstpage
234
Lastpage
239
Abstract
An application of Gibbs distribution to stochastic sequences description and interpolation estimating is considered. The opportunity of sequences generation and Bayes processing procedures recurrent realization is established on the basis of induced potentials preliminary calculation. Examples are given
Keywords
Bayes methods; binary sequences; filtering theory; interpolation; probability; signal processing; statistical analysis; Bayes processing; Gibbs model; binary process; filtering; induced potentials; interpolation; probability; recurrent modeling; stochastic sequences; Character generation; Interpolation; Joining processes; Markov processes; Physics; Probability distribution; Random variables; Relaxation methods; Signal processing; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Instrument Engineering Proceedings, 1998. APEIE-98. Volume 1. 4th International Conference on Actual Problems of
Conference_Location
Novosibirsk
Print_ISBN
0-7803-4938-5
Type
conf
DOI
10.1109/APEIE.1998.768955
Filename
768955
Link To Document