| 000 | 00000nam 2200000zi 4500 |
| 001 | 9.895276 |
| 003 | CaOODSP |
| 005 | 20221107174000 |
| 006 | m o d f |
| 007 | cr bn||||||||| |
| 008 | 210113e200108##onca obt f000 0 eng d |
| 040 | |aCaOODSP|beng|erda|cCaOODSP |
| 041 | |aeng|bfre |
| 086 | 1 |aCo24-3/7-2001-1E-PDF |
| 100 | 1 |aClimescu-Haulica, Adriana, |eauthor. |
| 245 | 10|aTheory of likelihood ratio detection of random signals dependent on causally filtered Wiener-plus-Poisson noise / |cby A. Climescu-Haulica, A.F. Gaultierotti. |
| 264 | 1|aOttawa : |bCommunications Research Centre, |cAugust 2001. |
| 300 | |a1 online resource (x, 110 pages) : |billustrations. |
| 336 | |atext|btxt|2rdacontent |
| 337 | |acomputer|bc|2rdamedia |
| 338 | |aonline resource|bcr|2rdacarrier |
| 490 | 1 |aCRC report ; |vno. CRC-RP-01-01 |
| 500 | |aDigitized edition from print [produced by Innovation, Science and Economic Development Canada]. |
| 504 | |aIncludes bibliographical references (pages 107-110). |
| 520 | |a"A general method of likelihood ratio computation is obtained for a filtered type of noise, with Gaussian and Poisson components. The idea is to call upon the Cramér-Hida representation of second order processes and to interpret it as a path transformation. This approach applies to underwater acoustics signal detection and potentially it is a tool to be used in mobile communication techniques"--Abstract, page ii. |
| 546 | |aIncludes abstract in French. |
| 650 | 0|aRandom noise theory. |
| 650 | 0|aGaussian distribution. |
| 650 | 0|aPoisson distribution. |
| 650 | 0|aStochastic processes. |
| 650 | 6|aThéorie du bruit aléatoire. |
| 650 | 6|aLoi de Gauss (Statistique) |
| 650 | 6|aDistribution de Poisson. |
| 650 | 6|aProcessus stochastiques. |
| 710 | 2 |aCommunications Research Centre (Canada), |eissuing body. |
| 830 | #0|aCRC report ;|vno. CRC-RP-01-01.|w(CaOODSP)9.882492 |
| 856 | 40|qPDF|s2.08 MB|uhttps://publications.gc.ca/collections/collection_2021/isde-ised/co24/Co24-3-7-2001-1-eng.pdf |