Discrete Communication Systems

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.

• 1: INTRODUCTION TO COMMUNICATION SYSTEMS2: ORTHOGONAL SIGNALS AND ORTHOGONALIZATION PROCEDURE3: DISCRETE TIME STOCHASTIC PROCESSES4: NOISE PROCESS IN DISCRETE COMMUNICATION SYSTEMS5: DISCRETE COMMUNICATION SYSTEM OPERATION6: DIGITAL BANDPASS MODULATION METHODS7: DISCRETE BANDPASS MODULATION METHODS8: ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING AND CODE DIVISION MULTIPLE ACCESS SYSTEMS9: INFORMATION THEORY AND CODING10: DISCRETE COMMUNICATION SYSTEMS DESIGN11: DETERMINISTIC CONTINUOUS TIME SIGNALS AND SYSTEMS12: TRANSFORMS OF DETERMINISTIC CONTINUOUS TIME SIGNALS13: SAMPLING AND RECONSTRUCTION OF CONTINUOUS TIME SIGNALS14: DETERMINISTIC DISCRETE TIME SIGNALS AND SYSTEMS15: DETERMINISTIC DISCRETE TIME SIGNAL TRANSFORMS16: CONCEPT OF DIGITAL FILTERS OPERATION AND DESIGN17: MULTIRATE DISCRETE TIME SIGNAL PROCESSING18: MULTIRATE FILTER BANKS19: CONTINUOUS TIME STOCHASTIC PROCESSES

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.