A large deviations approach to error exponents in source coding and hypothesis testing

DOI10.1109/18.53762zbMath0707.94004OpenAlexW2109011545MaRDI QIDQ3489929

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Publication date: 1990

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/18.53762

zbMATH Keywords

large deviationsfinite Markov chainserror exponentssource codingbinary hypothesis testing

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Large deviations (60F10) Source coding (94A29)

Related Items (3)

Multiple Objects: Error Exponents in Hypotheses Testing and Identification ⋮ Lectures on Entropy. I: Information-Theoretic Notions ⋮ Expectations for nonreversible Markov chains

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