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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Middleton, D. |
| Copyright Year | 1993 |
| Description | Author affiliation: Office of Naval Research, NY (Middleton, D.) |
| Abstract | When estimation of signal waveform or signal parameters takes place under prior uncertainty as to whether or not the signal is actually present [p(H/sub 1/) < 1, with /spl there4/ q(H/sub 0/) > /sub 0/] estimation based on the assumption that p(H/sub 1/) = 1 can result in estimates that can be seriously in error. Moreover, such estimators and estimates are themselves biased, with unknown bias if the "noise only" (q(H/sub 0/) > 1) state is not properly accounted for. The present paper extends the original analyses of Middleton and Esposito [1a, 1b], and more recent work of the present author [2], to include canonical estimation in generalized noise for least mean square error (LMSE) estimators and for (unconditional) maximum likelihood estimators (UMLE'S), which last were not available before in the case of the UMLE. [In addition, the verbal presentation includes new threshold results, obtained for correlated noise samples (the author's so-called quasi-equivalent (QE) noise models), where only the first order pdf w/sub 1(Z)/ and covariance k/sub z/ of the noise process are available [2].] |
| Starting Page | 86 |
| Ending Page | 86 |
| File Size | 150472 |
| Page Count | 1 |
| File Format | |
| ISBN | 0780308786 |
| DOI | 10.1109/ISIT.1993.748401 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-01-17 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal detection Uncertainty Cost function Working environment noise Signal processing State estimation Detectors Signal analysis Mean square error methods Maximum likelihood detection |
| Content Type | Text |
| Resource Type | Article |
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