1.

Record Nr.

UNINA9910141439103321

Autore

Middleton David <1920->

Titolo

Non-Gaussian statistical communication theory / / David Middleton

Pubbl/distr/stampa

Hoboken, New Jersey : , : Wiley-IEEE Press, , 2012

[Piscataqay, New Jersey] : , : IEEE Xplore, , [2012]

ISBN

1-118-16195-5

1-283-55015-6

9786613862600

1-118-16193-9

Edizione

[1st ed.]

Descrizione fisica

1 online resource (661 p.)

Collana

IEEE series on digital & mobile communication ; ; 22

Classificazione

SCI067000

Disciplina

003.54

003/.54

621.382

Soggetti

Statistical communication theory

Information theory - Statistical methods

Gaussian processes

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

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.

Sommario/riassunto

"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"--