caa a22 4500 475839137 CHVBK 20180406123856.0 cr unu---uuuuu 170329e20000901xx s 000 0 eng 10.1023/A:1010711701389 doi (NATIONALLICENCE)springer-10.1023/A:1010711701389 Entropy in Subordination and Filtering [Elektronische Daten] [Si Si, Win Win Htay] We propose a stochastic model of transmitting random information at random time. In this model, the signal is observed as a random sampling according to an increasing stable stochastic process. Thus we are given a subordinate stochastic process which is a typical irreversible process. As the characteristic of this phenomea we observe the loss of entropy. Kluwer Academic Publishers, 2000 white noise nationallicence subordination nationallicence filtering nationallicence Si Si Faculty of Science and Technology, Aichi Prefectural University, Aichi Prefecture, Japan aut Win Htay Win Department of Computational Mathematics, University of Computer Studies, Yangon, Myanmar (Burma) aut Acta Applicandae Mathematica Kluwer Academic Publishers 63/1-3(2000-09-01), 433-439 0167-8019 63:1-3<433 2000 63 10440 https://doi.org/10.1023/A:1010711701389 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1010711701389 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Si Si Faculty of Science and Technology, Aichi Prefectural University, Aichi Prefecture, Japan aut NATIONALLICENCE 700 1- Win Htay Win Department of Computational Mathematics, University of Computer Studies, Yangon, Myanmar (Burma) aut NATIONALLICENCE 773 0- Acta Applicandae Mathematica Kluwer Academic Publishers 63/1-3(2000-09-01), 433-439 0167-8019 63:1-3<433 2000 63 10440 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer