LEADER 01430nas 2200445-a 450 001 996214022803316 005 20240413024548.0 035 $a(CKB)111056646014074 035 $a(CONSER)--2003240141 035 $a(DE-599)ZDB2246257-0 035 $a(EXLCZ)99111056646014074 100 $a20000628a19989999 --- - 101 0 $aspa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aCiencia UANL $erevista de divulgación científica y tecnológica de la Universidad Autónoma de Nuevo León 210 $aMonterrey, N.L. $cUniversidad Autónoma de Nuevo León 215 $a1 online resource 311 08$aPrint version: Ciencia UANL : 1405-9177 (DLC) 2003240141 (OCoLC)44499399 517 3 $aCiencia Universidad Autónoma de Nuevo León 606 $aScience$zMexico$vPeriodicals 606 $aScience$vPeriodicals 606 $aTechnology$zMexico$vPeriodicals 606 $aScience$2fast$3(OCoLC)fst01108176 606 $aTechnology$2fast$3(OCoLC)fst01145078 607 $aMexico$2fast 608 $aPeriodicals.$2fast 615 0$aScience 615 0$aScience 615 0$aTechnology 615 7$aScience. 615 7$aTechnology. 676 $a050.6 712 02$aUniversidad Autónoma de Nuevo León. 906 $aJOURNAL 912 $a996214022803316 920 $aexl_impl conversion 996 $aCiencia UANL$92087365 997 $aUNISA LEADER 04647nam 2200673 a 450 001 9911019452603321 005 20200520144314.0 010 $a1-118-16195-5 010 $a1-283-55015-6 010 $a9786613862600 010 $a1-118-16193-9 024 7 $a10.1002/9781118161968 035 $a(CKB)2670000000230357 035 $a(EBL)817393 035 $a(SSID)ssj0000670722 035 $a(PQKBManifestationID)12235644 035 $a(PQKBTitleCode)TC0000670722 035 $a(PQKBWorkID)10612449 035 $a(PQKB)11556747 035 $a(MiAaPQ)EBC817393 035 $a(CaBNVSL)mat06198917 035 $a(IDAMS)0b000064818125ed 035 $a(IEEE)6198917 035 $a(OCoLC)795795364 035 $a(PPN)264429834 035 $a(EXLCZ)992670000000230357 100 $a20110524d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNon-Gaussian statistical communication theory /$fDavid Middleton 205 $a1st ed. 210 $aHoboken, N.J. $cWiley-IEEE Press$d2012 215 $a1 online resource (661 p.) 225 1 $aIEEE series on digital & mobile communication ;$v22 300 $aIncludes index. 311 $a1-118-16196-3 311 $a0-470-94847-7 327 $aReception as a Statistical Decision Problem -- Space-Time Covariances and Wave Number Frequency Spectra: I. Noise and Signals with Continuous and Discrete Sampling -- Optimum Detection, Space?Time Matched Filters, and Beam Forming in Gaussian Noise Fields -- Multiple Alternative Detection -- Bayes Extraction Systems: Signal Estimation and Analysis, () = 1 -- Joint Detection and Estimation, () = 1: I. Foundations -- Joint Detection and Estimation under Uncertainty, () < 1. II. Multiple Hypotheses and Sequential Observations -- The Canonical Channel I: Scalar Field Propagation in a Deterministic Medium -- The Canonical Channel II: Scattering in Random Media; 'Classical' Operator Solutions -- Appendix A1 -- Index -- IEEE Press Series on Digital and Mobile Communication. 330 $a"The book is based on the observation that communication is the central operation of discovery in all the sciences. In its "active mode" we use it to "interrogate" the physical world, sending appropriate "signals" and receiving nature's "reply". In the "passive mode" we receive nature's signals directly. Since we never know a prioriwhat particular return signal will be forthcoming, we must necessarily adopt a probabilistic model of communication. This has developed over the approximately seventy years since it's beginning, into a Statistical Communication Theory (or SCT). Here it is the set or ensemble of possible results which is meaningful. From this ensemble we attempt to construct in the appropriate model format, based on our understanding of the observed physical data and on the associated statistical mechanism, analytically represented by suitable probability measures.Since its inception in the late '30's of the last century, and in particular subsequent to World War II, SCT has grown into a major field of study. As we have noted above, SCT is applicable to all branches of science. The latter itself is inherently and ultimately probabilistic at all levels. Moreover, in the natural world there is always a random background "noise" as well as an inherent a priori uncertainty in the presentation of deterministic observations, i.e. those which are specifically obtained, a posteriori.The purpose of the book is to introduce Non-Gaussian statistical communication theory and demonstrate how the theory improves probabilistic model. The book was originally planed to include 24 chapters as seen in the table of preface. Dr. Middleton completed first 10 chapters prior to his passing in 2008. Bibliography which represents remaining chapters are put together by the author's close colleagues; Drs. Vincent Poor, Leon Cohen and John Anderson"--$cProvided by publisher. 410 0$aIEEE series on mobile & digital communication ;$v22. 606 $aStatistical communication theory 606 $aInformation theory$xStatistical methods 606 $aGaussian processes 615 0$aStatistical communication theory. 615 0$aInformation theory$xStatistical methods. 615 0$aGaussian processes. 676 $a003/.54 686 $aSCI067000$2bisacsh 700 $aMiddleton$b David$f1920-$01611259 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019452603321 996 $aNon-Gaussian statistical communication theory$93939413 997 $aUNINA