| contributor author | Akofor, Earnest | |
| contributor author | Biao Chen | |
| date accessioned | 2020-03-13T00:17:46Z | |
| date available | 2020-03-13T00:17:46Z | |
| date issued | 2014 | |
| identifier issn | 0018-9448 | |
| identifier other | 6874577.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1141462?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Interactive Distributed Detection: Architecture and Performance Analysis | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8323899 | |
| subject keywords | distributed sensors | |
| subject keywords | sensor fusion | |
| subject keywords | Kullback-Leibler distance | |
| subject keywords | Neyman-Pearson framework | |
| subject keywords | conditionally independent observation | |
| subject keywords | interactive distributed detection | |
| subject keywords | interactive fusion | |
| subject keywords | multiple peripheral sensor | |
| subject keywords | one-way tandem fusion network structure | |
| subject keywords | soft sensor | |
| subject keywords | Convex functions | |
| subject keywords | Equations | |
| subject keywords | Linear programming | |
| subject keywords | Materials | |
| subject keywords | Optimization | |
| subject keywords | Random variables | |
| subject keywords | Vectors | |
| subject keywords | Decision theory | |
| subject keywords | Kullback-Leibler distance | |
| subject keywords | Neyman-Pearson test | |
| subject keywords | distributed detection | |
| subject keywords | interactive fusion | |
| identifier doi | 10.1109/TIT.2014.2346497 | |
| journal title | Information Theory, IEEE Transactions on | |
| journal volume | 60 | |
| journal issue | 10 | |
| filesize | 900569 | |
| citations | 0 | |
