Leong, Alex S. and Dey, Subhrakanti and Evans, 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 Faculty of Science and Engineering > Research Institutes > Hamilton Institute
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:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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