Strong large deviations for composite hypothesis testing
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: 2014DOI: 10.1109/CGNCC.2014.7007466
Keyword(s): 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 |