{"product_id":"an-introduction-to-statistical-communication-theory-isbn-9780780311787","title":"An Introduction to Statistical Communication Theory","description":"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.  \u003cp\u003eUsing 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.\u003c\/p\u003e \u003cp\u003eComplete with special functions, integrals, solutions of integral equations, and an extensive, updated bibliography by chapter, \u003ci\u003eAn Introduction to Statistical Communication Theory\u003c\/i\u003e 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.)\u003c\/p\u003e  Foreword to the IEEE PRESS Reissue.\u003cbr\u003e \u003cbr\u003e Preface to the Second Reprint Edition (1996).\u003cbr\u003e \u003cbr\u003e Preface to the First Reprint Edition (1987-1995).\u003cbr\u003e \u003cbr\u003e Preface to the First Edition (1960).\u003cbr\u003e \u003cbr\u003e AN INTRODUCTION TO STATISTICAL COMMUNICATION THEORY.\u003cbr\u003e \u003cbr\u003e Statistical Preliminaries.\u003cbr\u003e \u003cbr\u003e Operations on Ensembles.\u003cbr\u003e \u003cbr\u003e Spectra, Covariance, and Correlation Functions.\u003cbr\u003e \u003cbr\u003e Sampling, Interpolation, and Random Pulse Trains.\u003cbr\u003e \u003cbr\u003e Signals and Noise in Nonlinear Systems.\u003cbr\u003e \u003cbr\u003e An Introduction to Information Theory.\u003cbr\u003e \u003cbr\u003e RANDOM NOISE PROCESSES.\u003cbr\u003e \u003cbr\u003e The Normal Random Process: Gaussian Variates.\u003cbr\u003e \u003cbr\u003e The Normal Random Process: Gaussian Functionals.\u003cbr\u003e \u003cbr\u003e Processes Derived from the Normal.\u003cbr\u003e \u003cbr\u003e The Equations of Langevin, Fokker-Planck, and Boltzmann.\u003cbr\u003e \u003cbr\u003e Thermal, Shot, and Impulse Noise.\u003cbr\u003e \u003cbr\u003e APPLICATIONS TO SPECIAL SYSTEMS.\u003cbr\u003e \u003cbr\u003e Amplitude Modulation and Conversion.\u003cbr\u003e \u003cbr\u003e Rectification of Amplitude-modulated Waves: Second-momentTheory.\u003cbr\u003e \u003cbr\u003e Phase and Frequency Modulation.\u003cbr\u003e \u003cbr\u003e Detection of Frequency-modulated Waves: Second-moment Theory.\u003cbr\u003e \u003cbr\u003e Linear Measurements, Prediction, and Optimum Filtering.\u003cbr\u003e \u003cbr\u003e Some Distribution Problems.\u003cbr\u003e \u003cbr\u003e A STATISTICAL THEORY OF RECEPTION.\u003cbr\u003e \u003cbr\u003e Reception as a Decision Problem.\u003cbr\u003e \u003cbr\u003e Binary Detection Systems Minimizing Average Risk. General Theory.\u003cbr\u003e \u003cbr\u003e Binary Detection Systems Minimizing Average Risk. Examples.\u003cbr\u003e \u003cbr\u003e Extraction Systems Minimizing Average Risk;\u003cbr\u003e Signal Analysis.\u003cbr\u003e \u003cbr\u003e Information Measures in Reception.\u003cbr\u003e \u003cbr\u003e Generalizations and Extensions.\u003cbr\u003e \u003cbr\u003e Appendix 1. Special Functions and Integrals.\u003cbr\u003e \u003cbr\u003e Appendix 2. Solutions of Selected Integral Equations.\u003cbr\u003e \u003cbr\u003e Supplementary References and Bibliography.\u003cbr\u003e \u003cbr\u003e Selected Supplementary References (1996).\u003cbr\u003e \u003cbr\u003e Name Index to Selected Supplementary References.\u003cbr\u003e \u003cbr\u003e Glossary of Principal Symbols.\u003cbr\u003e \u003cbr\u003e Name Index.\u003cbr\u003e \u003cbr\u003e Subject Index.\u003cbr\u003e \u003cbr\u003e Author's Biography.  \u003cb\u003eDavid Middleton\u003c\/b\u003e is a consulting physicist, applied mathematician, educator and author who is an internationally recognized pioneer in statistical communication theory, a field in which he has been active for more than fifty years. He is author of Topics in Communication Theory (1965–1967, 1987-) and more than 160 papers. Dr. Middleton is currently Adjunct Professor of Electrical Engineering at the University of Rhode Island.  \"…a unique sourcebook in statistical communications…no other book treats mathematical and physical foundations of the discipline in the comprehensive, interdisciplinary way found here…[it] offers the reader a distinct advantage in terms of understanding, as well as a significant value in terms of compactness of resources.\"\u003cbr\u003e —From the foreword by H. Vincent Poor  \u003cp\u003eThis IEEE Press Classic Reissue provides an advanced level, yet uniquely fundamental, treatment of the applications of Statistical Communication Theory to a vast spectrum of important physical problems. Included are general treatments of signal detection, estimation, and measurement, and related topics involving information transfer. Using the Bayesian statistical 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 applications. This book offers a detailed treatment and an array of problems and results covering an exceptionally broad range of technical subjects in the communications field, including among others:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eSpecific applications of Fourier as well as single- and two-sided LaPlace transform methods\u003c\/li\u003e \u003cli\u003eEvaluation of covariance functions and intensity spectra\u003c\/li\u003e \u003cli\u003eSignal-to-noise ratios in nonlinear systems\u003c\/li\u003e \u003cli\u003eSampling and interpolation\u003c\/li\u003e \u003cli\u003eLangevin, Fokker-Planck, and Boltzmann equations\u003c\/li\u003e \u003cli\u003eAmplitude, phase, and frequency modulation by noise and signals\u003c\/li\u003e \u003cli\u003eDetection probabilities\u003c\/li\u003e \u003cli\u003eOptimum estimators\u003c\/li\u003e \u003cli\u003eMinimum detectable signals\u003c\/li\u003e \u003cli\u003eNeyman-Pearson and Ideal Observer detection algorithms\u003c\/li\u003e \u003cli\u003eMultiple alternative detection algorithms and performance measures\u003c\/li\u003e \u003c\/ul\u003e Complete with special functions, integrals, solutions of integral equations, and an extensive, updated bibliography, An Introduction to Statistical Communication Theory is a seminal reference particularly for anyone working in the field of communications, as well as in other areas of statistical physics.","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47988729839845,"sku":"NP9780780311787","price":256.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780780311787.jpg?v=1761781361","url":"https:\/\/k12savings.com\/products\/an-introduction-to-statistical-communication-theory-isbn-9780780311787","provider":"K12savings","version":"1.0","type":"link"}