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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Optical fibre n-ary PPM: natural acquisition sequences and frame phase extraction
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Estimation of Performance Measures from Simulation
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TL;DR: This chapter studies the statistical aspect of measuring performance parameters within the simulation context and reviews some popular visual indicators of signal quality, which are often generated in a simulation to provide a qualitative sense of the performance of a digital system, but which can also be used to provide somewhat loose quantitative bounds on performance.
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