Title :
Gauss Markov sequences with Gibbs distribution
Author :
Vasyukov, V.N. ; Spector, A.A.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
Abstract :
Stochastic models based on Gibbs distribution, well-known in statistical physics, remain scantily explored in information applications. This statement is of concern for the description of signals (messages, parasites), having a Gauss distribution. Therefore, the establishment of connections between Gibbs and traditional Markov expositions of signals is of interest, because it will allow us to combine the virtues of Gibbs and traditional expositions of Markov processes
Keywords :
Gaussian processes; Markov processes; probability; sequences; set theory; Gauss Markov sequences; Gauss distribution; Gibbs distribution; Markov processes; information applications; statistical physics; stochastic models; traditional Markov expositions; Concrete; Equations; Gaussian distribution; Iterative methods; Markov processes; Physics; Random processes; Random sequences; Signal processing; Stochastic processes;
Conference_Titel :
Science and Technology, 1999. KORUS '99. Proceedings. The Third Russian-Korean International Symposium on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-5729-9
DOI :
10.1109/KORUS.1999.875918
