LEADER 03366nam 2200709 450 001 9910830159403321 005 20240219143412.0 010 $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 $a20151221d2012 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNon-Gaussian statistical communication theory /$fDavid Middleton 205 $a1st ed. 210 1$aHoboken, New Jersey :$cWiley-IEEE Press,$d2012. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2012] 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 8 $a"The book is based on the observation that communication is the central operation of discovery in all the sciences. In its "active mode" we use it to "interrogate" the physical world, sending appropriate "signals" and receiving nature's "reply". In the "passive mode" we receive nature's signals directly. Since we never know a priori what particular return signal will be forthcoming, we must necessarily adopt a probabilistic model of communication"--$cRe?sume? de l'e?diteur 410 0$aIEEE series on digital & mobile communication ;$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 $a003.54 676 $a003/.54 676 $a621.382 686 $aSCI067000$2bisacsh 700 $aMiddleton$b David$f1920-$01611259 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910830159403321 996 $aNon-Gaussian statistical communication theory$93939413 997 $aUNINA