This IEEE Classic Reissue provides at an advanced level, a uniquelyfundamental exposition of the applications of StatisticalCommunication Theory to a vast spectrum of important physicalproblems. Included are general analysis of signal detection,estimation, measurement, and related topics involving informationtransfer.
Using the statistical Bayesian viewpoint, renowned author DavidMiddleton employs statistical decision theory specifically tailoredfor the general tasks of signal processing. Dr. Middleton alsoprovides a special focus on physical modeling of the canonicalchannel with real–world examples relating to radar, sonar, andgeneral telecommunications. This book offers a detailed treatmentand an array of problems and results spanning an exceptionallybroad range of technical subjects in the communications field.
Complete with special functions, integrals, solutions ofintegral equations, and an extensive, updated bibliography bychapter, An Introduction to Statistical Communication Theoryis a seminal reference, particularly for anyone working in thefield of communications, as well as in other areas of statisticalphysics. (Originally published in 1960.)
" a unique sourcebook in statisticalcommunications no other book treats mathematical andphysical foundations of the discipline in the comprehensive,interdisciplinary way found here [it] offers the reader adistinct advantage in terms of understanding, as well as asignificant value in terms of compactness of resources."
From the foreword by H. Vincent Poor
This IEEE Press Classic Reissue provides an advanced level, yetuniquely fundamental, treatment of the applications of StatisticalCommunication Theory to a vast spectrum of important physicalproblems. Included are general treatments of signal detection,estimation, and measurement, and related topics involvinginformation transfer. Using the Bayesian statistical viewpoint,renowned author David Middleton employs statistical decision theoryspecifically tailored for the general tasks of signal processing.Dr. Middleton also provides a special focus on physical modeling ofthe canonical channel with real–world examples relating to radar,sonar, and general telecommunications applications. This bookoffers a detailed treatment and an array of problems and resultscovering an exceptionally broad range of technical subjects in thecommunications field, including among others:
- Specific applications of Fourier as well as single– andtwo–sided LaPlace transform methods
- Evaluation of covariance functions and intensity spectra
- Signal–to–noise ratios in nonlinear systems
- Sampling and interpolation
- Langevin, Fokker–Planck, and Boltzmann equations
- Amplitude, phase, and frequency modulation by noise andsignals
- Detection probabilities
- Optimum estimators
- Minimum detectable signals
- Neyman–Pearson and Ideal Observer detection algorithms
- Multiple alternative detection algorithms and performancemeasures
Complete with special functions, integrals, solutions of integralequations, and an extensive, updated bibliography, An Introductionto Statistical Communication Theory is a seminal referenceparticularly for anyone working in the field of communications, aswell as in other areas of statistical physics.
