An Introduction To Statistical Communication Theory (an Ieee Press Classic Reissue)

David Middleton

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Electrical Engineering An Introduction to Statistical Communication Theory "…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." —From the foreword by H. Vincent Poor This 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:

  • Specific applications of Fourier as well as single- and two-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 and signals
  • Detection probabilities
  • Optimum estimators
  • Minimum detectable signals
  • Neyman-Pearson and Ideal Observer detection algorithms
  • Multiple alternative detection algorithms and performance measures

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.

 

Table of Contents:

Foreword to the IEEE PRESS Reissue.

Preface to the Second Reprint Edition (1996).

Preface to the First Reprint Edition (1987-1995).

Preface to the First Edition (1960).

AN INTRODUCTION TO STATISTICAL COMMUNICATION THEORY.

Statistical Preliminaries.

Operations on Ensembles.

Spectra, Covariance, and Correlation Functions.

Sampling, Interpolation, and Random Pulse Trains.

Signals and Noise in Nonlinear Systems.

An Introduction to Information Theory.

RANDOM NOISE PROCESSES.

The Normal Random Process: Gaussian Variates.

The Normal Random Process: Gaussian Functionals.

Processes Derived from the Normal.

The Equations of Langevin, Fokker-Planck, and Boltzmann.

Thermal, Shot, and Impulse Noise.

APPLICATIONS TO SPECIAL SYSTEMS.

Amplitude Modulation and Conversion.

Rectification of Amplitude-modulated Waves: Second-moment Theory.

Phase and Frequency Modulation.

Detection of Frequency-modulated Waves: Second-moment Theory.

Linear Measurements, Prediction, and Optimum Filtering.

Some Distribution Problems.

A STATISTICAL THEORY OF RECEPTION.

Reception as a Decision Problem.

Binary Detection Systems Minimizing Average Risk. General Theory.

Binary Detection Systems Minimizing Average Risk. Examples.

Extraction Systems Minimizing Average Risk; Signal Analysis.

Information Measures in Reception.

Generalizations and Extensions.

Appendix 1. Special Functions and Integrals.

Appendix 2. Solutions of Selected Integral Equations.

Supplementary References and Bibliography.

Selected Supplementary References (1996).

Name Index to Selected Supplementary References.

Glossary of Principal Symbols.

Name Index.

Subject Index.

Author's Biography.

商品描述(中文翻譯)

描述:
電機工程統計通信理論入門是一本在統計通信領域中獨特的資料來源,沒有其他書籍像這本書一樣全面且跨學科地處理這個學科的數學和物理基礎。這本書以貝葉斯統計觀點為基礎,作者David Middleton運用統計決策理論,專門針對信號處理的一般任務。Middleton博士還特別關注與雷達、聲納和一般電信應用相關的典型通道的物理建模。本書詳細介紹了通信領域中一系列技術主題,並提供了一系列問題和結果,涵蓋了非常廣泛的技術主題,包括但不限於:
- 傅立葉轉換、單側和雙側拉普拉斯轉換方法的具體應用
- 協方差函數和強度譜的評估
- 非線性系統中的信噪比
- 取樣和插值
- Langevin、Fokker-Planck和Boltzmann方程
- 噪聲和信號的振幅、相位和頻率調製
- 檢測概率
- 最優估計器
- 最小可檢測信號
- Neyman-Pearson和理想觀察者檢測算法
- 多種替代檢測算法和性能指標

本書還包括特殊函數、積分、積分方程的解以及廣泛的、更新的參考文獻。《統計通信理論入門》是一本具有開創性意義的參考書,特別適合在通信領域以及其他統計物理領域工作的人士閱讀。

目錄:
- IEEE PRESS再版序言
- 第二次重印版前言(1996年)
- 第一次重印版前言(1987-1995年)
- 第一版前言(1960年)
- 統計通信理論入門
- 統計初步
- 集合操作
- 頻譜、協方差和相關函數
- 取樣、插值和隨機脈衝列
- 信號和噪聲在無記憶通道中的傳輸