Book Chapter10.1109/9780470544112.PART1
An Introduction to Statistical Communication Theory
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TL;DR: This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important physical problems.
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Abstract: This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important physical problems. Included are general analysis of signal detection, estimation, measurement, and related topics involving information transfer. Using the statistical Bayesian viewpoint, renowned author David Middleton employs statistical decision theory specifically tailored for the general tasks of signal processing. Dr. Middleton also provides a special focus on physical modeling of the canonical channel with real-world examples relating to radar, sonar, and general telecommunications. This book offers a detailed treatment and an array of problems and results spanning an exceptionally broad range of technical subjects in the communications field. Complete with special functions, integrals, solutions of integral equations, and an extensive, updated bibliography by chapter, An Introduction to Sta istical Communication Theory is a seminal reference, particularly for anyone working in the field of communications, as well as in other areas of statistical physics. (Originally published in 1960.)
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Citations
On a Class of Stochastic Differential Equations
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An early, analog communications notion of mitigation bandwidth
R. Price
- 22 Sep 1996
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Input-image homogenization as a method to improve a correlator's discrimination capability
TL;DR: An input-image preprocessing method consisting of homogenization of the image to improve the discrimination capability of a correlation-based recognition process and offers the advantage that correlation with the preprocessed images can easily be implemented in an optical correlator working with phase-only spatial light modulators.
Generalized formulations producing a Burr distribution of speckle statistics
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PN-spread spectrum system behavior in a highly impulsive noise environment
S. A. Kosmo poulos,S. S. Kouris +1 more
- 01 Nov 1987
TL;DR: In this article, the behavior of a Pseudo Noise (PN)-Spread Spectrum system in the presence of a highly impulsive plus Gaussian noise environment is studied, and it is shown that the noise process when multiplied by the receiver's localPN-code is spectrally spread with a resultant decrease in the noise spectral density.
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