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| 02122nam 2200421zi 4500 |
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| 001 | 9.895276 |
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| 003 | CaOODSP |
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| 005 | 20221107174000 |
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| 006 | m o d f |
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| 007 | cr bn||||||||| |
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| 008 | 210113e200108##onca obt f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 041 | |aeng|bfre |
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| 086 | 1 |aCo24-3/7-2001-1E-PDF |
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| 100 | 1 |aClimescu-Haulica, Adriana, |eauthor. |
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| 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. |
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| 264 | 1|aOttawa : |bCommunications Research Centre, |cAugust 2001. |
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| 300 | |a1 online resource (x, 110 pages) : |billustrations. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aCRC report ; |vno. CRC-RP-01-01 |
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| 500 | |aDigitized edition from print [produced by Innovation, Science and Economic Development Canada]. |
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| 504 | |aIncludes bibliographical references (pages 107-110). |
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| 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. |
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| 546 | |aIncludes abstract in French. |
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| 650 | 0|aRandom noise theory. |
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| 650 | 0|aGaussian distribution. |
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| 650 | 0|aPoisson distribution. |
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| 650 | 0|aStochastic processes. |
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| 650 | 6|aThéorie du bruit aléatoire. |
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| 650 | 6|aLoi de Gauss (Statistique) |
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| 650 | 6|aDistribution de Poisson. |
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| 650 | 6|aProcessus stochastiques. |
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| 710 | 2 |aCommunications Research Centre (Canada), |eissuing body. |
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| 830 | #0|aCRC report ;|vno. CRC-RP-01-01.|w(CaOODSP)9.882492 |
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| 856 | 40|qPDF|s2.08 MB|uhttps://publications.gc.ca/collections/collection_2021/isde-ised/co24/Co24-3-7-2001-1-eng.pdf |
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