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Un théorème limite et un test pour la détection non paramétrique de signaux dans un bruit blanc gaussien de variance inconnue
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pastor, Dominique |
| Copyright Year | 2005 |
| Abstract | This paper concerns the non parametric statistical detection of signals that have unknown probability distributions and unknown probabilities of presence in a background of white Gaussian noise with unknown standard deviation. On the basis of a limit theorem stated below, a test is introduced. This test performs an estimate of the noise standard deviation and achieves the detection of signals that have probability of presence less than or equal to one half and norm larger than or equal to some known non negative real number A. Experimental results regarding the non parametric detection of sinusoidal carriers in white Gaussian noise are presented. These results suggest that the asymptotic conditions of the limit theorem can somewhat be relaxed and are not so constraining in practice. The radar target detection problem is a typical application of this work. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/14034/A446_78868.pdf;jsessionid=6164A8D23010E93D7C1E6E816B21159F?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
