04647nam 2200673 a 450 991101945260332120200520144314.01-118-16195-51-283-55015-697866138626001-118-16193-910.1002/9781118161968(CKB)2670000000230357(EBL)817393(SSID)ssj0000670722(PQKBManifestationID)12235644(PQKBTitleCode)TC0000670722(PQKBWorkID)10612449(PQKB)11556747(MiAaPQ)EBC817393(CaBNVSL)mat06198917(IDAMS)0b000064818125ed(IEEE)6198917(OCoLC)795795364(PPN)264429834(EXLCZ)99267000000023035720110524d2012 uy 0engur|n|---|||||txtccrNon-Gaussian statistical communication theory /David Middleton1st ed.Hoboken, N.J. Wiley-IEEE Press20121 online resource (661 p.)IEEE series on digital & mobile communication ;22Includes index.1-118-16196-3 0-470-94847-7 Reception as a Statistical Decision Problem -- Space-Time Covariances and Wave Number Frequency Spectra: I. Noise and Signals with Continuous and Discrete Sampling -- Optimum Detection, Space₆Time 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."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"--Provided by publisher.IEEE series on mobile & digital communication ;22.Statistical communication theoryInformation theoryStatistical methodsGaussian processesStatistical communication theory.Information theoryStatistical methods.Gaussian processes.003/.54SCI067000bisacshMiddleton David1920-1611259MiAaPQMiAaPQMiAaPQBOOK9911019452603321Non-Gaussian statistical communication theory3939413UNINA