Breaking with traditional treatment of random processes in engineering . . .
On the surface, Introduction to Random Processes in Engineering is simply a first-rate textbook for senior or first-year graduate engineering courses in stochastic processes. A closer look, however, reveals an innovative book--rich with examples and commonsense explanations--that demystifies theories, eliminates ambiguities; and provides a solid up-to-date introduction to this important subject. Departing from the classical texts of the sixties and seventies in its coverage of random signals and data processing, Introduction to Random Processes in Engineering addresses the latest advances in communication, control engineering, and signal processing by allowing all processes to be multidimensional with an emphasis on discrete-time processes and systems. Unlike current texts, this volume provides a strong mathematical perspective for its engineering topics without getting bogged down in technicalities. It employs mathematics to achieve clarity and precision, and at times even uses the theorem/proof style to emphasize mathematical fine points. This approach is particularly advantageous when dealing with random data, and when building an understanding of the many computer programs routinely used, their theoretical principles, and the results they generate. Assuming background in probability theory at a senior level and some acquaintance with linear systems and signals, the book provides:Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. A. V. BALAKRISHNAN is Professor of Electrical Engineering at the University of California, Los Angeles.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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