摘要
The general formulas for the Neyman-Pearson type-II error exponent subject to two different type-I error constraints, as indicated in the title of the correspondence, are established. As revealed in the formulas, the type-II error exponents are fully determined by the ultimate statistical characteristic of the normalized log-likelihood ratio evaluated under the null hypothesis distribution. Applications of the general formulas to distributed Neyman-Pearson detection, and the channel reliability function are also demonstrated.
| 原文 | English |
|---|---|
| 頁(從 - 到) | 316-323 |
| 頁數 | 8 |
| 期刊 | IEEE Transactions on Information Theory |
| 卷 | 42 |
| 發行號 | 1 |
| DOIs | |
| 出版狀態 | Published - 1月 1996 |
指紋
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