Strong large deviations for composite hypothesis testing
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سال
: 2014شناسه الکترونیک: 10.1109/CGNCC.2014.7007466
کلیدواژه(گان): Lyapunov methods,Nonlinear systems,Optimization,Polynomials,Robust stability,Robustness,State feedback
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Strong large deviations for composite hypothesis testing
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contributor author | Yen-Wei Huang , Moulin, P. | |
date accessioned | 2020-03-12T20:30:46Z | |
date available | 2020-03-12T20:30:46Z | |
date issued | 2014 | |
identifier other | 6874894.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1016994 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Strong large deviations for composite hypothesis testing | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8140965 | |
subject keywords | Lyapunov methods | |
subject keywords | Nonlinear systems | |
subject keywords | Optimization | |
subject keywords | Polynomials | |
subject keywords | Robust stability | |
subject keywords | Robustness | |
subject keywords | State feedback | |
identifier doi | 10.1109/CGNCC.2014.7007466 | |
journal title | nformation Theory (ISIT), 2014 IEEE International Symposium on | |
filesize | 532184 | |
citations | 0 |