Middleton, David, 1920-
Non-Gaussian statistical communication theory / David Middleton. - 1st ed. - 1 PDF. - IEEE series on digital & mobile communication ; 22 . - IEEE series on digital & mobile communication ; 22 .
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.
Restricted to subscribers or individual electronic text purchasers.
"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"--
Mode of access: World Wide Web
9781118161968
10.1002/9781118161968 doi
Statistical communication theory.
Information theory--Statistical methods.
Gaussian processes.
Electronic books.
Q386 / .M54 2012eb
003/.54
Non-Gaussian statistical communication theory / David Middleton. - 1st ed. - 1 PDF. - IEEE series on digital & mobile communication ; 22 . - IEEE series on digital & mobile communication ; 22 .
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.
Restricted to subscribers or individual electronic text purchasers.
"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"--
Mode of access: World Wide Web
9781118161968
10.1002/9781118161968 doi
Statistical communication theory.
Information theory--Statistical methods.
Gaussian processes.
Electronic books.
Q386 / .M54 2012eb
003/.54