Discrete Communication Systems (Oxford Graduate Texts)

Berber, Stevan

ISBN 10: 019886079X / ISBN 13: 9780198860792

Published by Oxford University Press, 2021

About this Item

Publisher's hardback in nearly new condition: firm and square, strong joints, sharp corners, no bumps. Contents crisp, tight and clean; no pen-marks. Looks unread. Thus a tidy book in very presentable condition.

Seller Inventory # 204011

Bibliographic Details

• Title: Discrete Communication Systems (Oxford Graduate Texts)
• Publisher: Oxford University Press
• Publication Date: 2021
• Language: English
• ISBN 10: 019886079X
• ISBN 13: 9780198860792
• Binding: Hardcover
• Edition: First Edition.
• Condition: Like New

About this title

Synopsis

This is the first textbook which presents the theory of pure discrete communication systems and its relation to the existing theory of digital and analog communications at a graduate level.

Based on the orthogonality principles and theory of discrete time stochastic processes, a generic structure of communication systems, based on correlation demodulation and optimum detection, is developed and presented in the form of mathematical operators with precisely defined inputs and outputs and related functions. Based on this generic structure, the traditionally defined phase shift keying (PSK), frequency shift keying (FSK), quadrature amplitude modulation (QAM), orthogonal frequency division multiplexing (OFDM) and code division multiple access (CDMA) systems are deduced as its special cases. The main chapters, presenting the theory of communications, are supported by a set of supplementary chapters containing the theory of deterministic and stochastic signal processing, which makes the book a self-contained presentation of the subject.

The book uses unified notation and unified terminology, which allows a clear distinction between deterministic and stochastic signals, power signals and energy signals, discrete time signals and processes and continuous time signals and processes, and an easy way of understanding the differences in defining the correlation functions, power and energy spectral densities, and amplitudes and power spectra of the mentioned signals and processes.

In addition to solved examples in the text, about 300 solved problems are available to readers in the supplementary material that aim to enhance the understanding of the theory in the text. In addition, five research Projects are added to be used by lecturers or instructors that aim to enhance the understanding of theory and to establish its relation to the practice.

About the Author

Stevan Berber received his PhD in electrical engineering from the University of Auckland, New Zealand, where he is currently an associate professor. He has taught undergraduate and graduate courses including communication systems, information and coding theory, stochastic signal processing, sensor and computer networks, and advance digital systems design. He has been leading or involved in a large number of research and industry projects related to these subjects. He held positions of a visiting scholar at the University of Sydney, visiting professor at the NUST University in Nanjing, China, visiting professor at the University of Novi Sad, Serbia, and a guest professor at universities in Greece, Spain, Korea and England. He served as an editor and a reviewer for leading journals and conferences in his field.