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Leong, Alex S., 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: | 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 |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/12722 |
| 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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