An Introduction To Communication Theory And Systems

This book was written as a first treatment of statistical com munication theory and communication systems at a senior graduate level. The only formal prerequisite is a knowledge of ele mentary calculus; however, some familiarity with linear systems and transform theory will be helpful. Chapter 1 is introductory and contains no substantial techni cal material. Chapter 2 is an elementary introduction to probability theory at a nonrigorous and non abstract level. It is essential to the remainder of the book but may be skipped (or reviewed has tily) by any student who has taken a one-semester undergraduate course in probability. Chapter 3 is a brief treatment of random processes and spec tral analysis. It includes an introduction to shot noise (Sections 3.14-3.17) which is not subsequently used explicitly. Chapter 4 considers linear systems with random inputs. It includes a considerable amount of material on narrow-band sys tems and on the representation of random processes. Chapter 5 treats the matched filter and the linear least mean-squared-error filter at an elementary level but in some detail. Numerous examples are provided throughout the book. Many of these are of an elementary nature and are intended merely to illustrate textual material. A reasonable number of problems of varying difficulty are provided. Instructors who adopt the text for classroom use may obtain a Solutions Manual for most of the problems by writing to the author.

An accessible undergraduate textbook introducing key fundamental principles behind modern communication systems, supported by exercises, software problems and lab exercises.

Introduction to Communication Theory encompasses the body of knowledge contained in a quarter course in Communication Theory taught at the California State College, L.A. Organized into six chapters, this book first addresses the mathematical groundwork of signal analysis. Chapter 2 then applies this to the study of linear systems with emphasis upon filter theory. Subsequent chapters apply the developed theory to various communication systems, particularly in the study of amplitude, frequency, and pulse modulation. The last chapter describes the techniques of noise analysis. This text will be very useful to students in the field of communications.

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 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. (Originally published in 1960.)

There are many valuable and useful books on electrical communication (References 1-5 are some examples), but they have certain disadvantages for the beginner. The more advanced books present some things in a basic way, but they are very narrow for an introduction to communica tion. The introductory books are broader but still narrow by our stan dards. Further, they often pick things out of thin air rather than derive them. This book is aimed at giving the beginner a basic understanding of a wide range of topics which are essential in communication systems. These include antennas and transmission, thermal noise and its consequences, Fourier transforms, modulation and noise, sampling and pulse code modulation, autocorrelation and power spectrum, optimum filtering, gauss ian noise and errors in digital transmission, data transmission, limits on data rate including information theory and quantum limits, and source encoding. We have not included communications traffic, switching, and multiplexing, nor protocols for digital and computer communications. For these, Reference 6 is excellent. In general, our book does not discuss the circuits used for communication or the physics of radio propagation. We assume that these will be taught in specialized courses, but such courses are not prerequisites for this one. Chapter 1 introduces the transmission formula or antenna equation and antenna directivity. Only a very basic sophomore physics knowledge of electromagnetic theory is assumed. The radar equation is also treated.

"Using Communication Theory was a rarity in bridging the gap between ideas and practice. It was itself a model of good communication and in its second, revised edition, it is still a most reliable and accessible guide to the lessons that communication theory and research offer to practitioners, especially in planning for change." - Denis McQuail, Professor Emeritus, University of Amsterdam "Using Communication Theory has become a classic in the education of communication. It is the comprehensive and self-evident source for theories and models, forming the base for the study of professions requiring communication planning." - Larsåke Larsson, Örebro University What does theory have to do with the practice of communication? Communication planning is used daily by thousands of people: public relations practitioners, technical writers, information campaigners, advertising professionals, organization consultants, educators, health communicators and more. Without a solid understanding of communication theory, practitioners have difficulty getting their messages heard. The second edition of this best-selling textbook has been updated with the student firmly in mind. With new learning features that directly engage with the practical side of theory, students will: Practice what they learn with activities and exercises. Apply their own experiences to theory through prompts to reflection. Consolidate their learning with highlighted definitions and lists of key terms. Take it further with boxed excerpts from classic texts. Showing how theories relate directly to the planning and experience of effective communication, Using Communication Theory - 2nd Edition provides indispensable insights into the practical nature of communication theory. In today’s landscape of communication overload, this book remains an essential, authoritative guide for both students and practitioners.