caa a22 4500 475839145 CHVBK 20180406123856.0 cr unu---uuuuu 170329e20000901xx s 000 0 eng 10.1023/A:1010759616411 doi (NATIONALLICENCE)springer-10.1023/A:1010759616411 Ihara Shunsuke School of Informatics and Sciences, Nagoya University, 464-8601, Nagoya, Japan. e-mail aut Large Deviation Theorems for Gaussian Processes and Their Applications in Information Theory [Elektronische Daten] [Shunsuke Ihara] We discuss on the large deviation theorems for stationary Gaussian processes and their applications in information theory. The topics investigated here include error probability of string matching, error probabilities for random codings, and a conditional limit theorem which justifies the maximum entropy principle. Kluwer Academic Publishers, 2000 large deviation theorem nationallicence stationary Gaussian process nationallicence random coding nationallicence channel coding theorem nationallicence maximum entropy principle nationallicence Acta Applicandae Mathematica Kluwer Academic Publishers 63/1-3(2000-09-01), 165-174 0167-8019 63:1-3<165 2000 63 10440 https://doi.org/10.1023/A:1010759616411 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1010759616411 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Ihara Shunsuke School of Informatics and Sciences, Nagoya University, 464-8601, Nagoya, Japan. e-mail aut NATIONALLICENCE 773 0- Acta Applicandae Mathematica Kluwer Academic Publishers 63/1-3(2000-09-01), 165-174 0167-8019 63:1-3<165 2000 63 10440 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer