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    Error Exponents for Neyman–Pearson Detection of Markov Chains in Noise


    Leong, Alex S. and Dey, Subhrakanti and Evan, Jamie S. (2007) Error Exponents for Neyman–Pearson Detection of Markov Chains in Noise. IEEE Transactions on Signal Processing, 55 (10). pp. 5097-5103. ISSN 1053-587X

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    Abstract

    A numerical method for computing the error exponent for Neyman–Pearson detection of two-state Markov chains in noise is presented, for both time-invariant and fading channels.We give numerical studies showing the behavior of the error exponent as the transition parameters of the Markov chain and the signal-to-noise ratio (SNR) are varied. Comparisons between the high-SNR asymptotics in Gaussian noise for the time-invariant and fading situations will also be made.

    Item Type: Article
    Keywords: Error Exponents; Neyman–Pearson Detection; Markov Chains; Noise;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 12722
    Identification Number: https://doi.org/10.1109/TSP.2007.897863
    Depositing User: Subhrakanti Dey
    Date Deposited: 09 Apr 2020 10:01
    Journal or Publication Title: IEEE Transactions on Signal Processing
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    URI:

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