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Non-Gaussian statistical communication theory / David Middleton.

By: Middleton, David, 1920-.
Contributor(s): IEEE Xplore (Online Service) [distributor.] | John Wiley & Sons [publisher.].
Material type: materialTypeLabelBookSeries: IEEE series on digital & mobile communication: 22Publisher: Hoboken, New Jersey : Wiley-IEEE Press, 2012Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2012]Edition: 1st ed.Description: 1 PDF.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781118161968.Subject(s): Statistical communication theory | Information theory -- Statistical methods | Gaussian processes | Apertures | Arrays | Bayes methods | Computer aided software engineering | Cost function | Couplings | Covariance matrix | Data mining | Data processing | Decision theory | Eigenvalues and eigenfunctions | Equations | Estimation | Fading channels | Feature extraction | Indexes | Joints | Manganese | Matched filters | Minimization | Narrowband | Noise | Noise measurement | Nonhomogeneous media | Probability density function | Random media | Receivers | Scattering | Sections | Sensors | Signal detection | Silicon compounds | Statistical analysis | Symmetric matrices | Unsupervised learning | VectorsGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 003/.54 Online resources: Abstract with links to resource Also available in print.
Contents:
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, Spaceb6sTime 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.
Summary: "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"-- R�esum�e de l'�editeur
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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, Spaceb6sTime 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.

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"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"-- R�esum�e de l'�editeur

Also available in print.

Mode of access: World Wide Web

Description based on PDF viewed 12/21/2015.

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