Author: (USA) Papoulis (Papoulis, A.), (USA) Pillai (Pillai, S.U.) wrote, Bao Zheng et al. translated
Publisher:
Publishing Time: 2004-09-01
Features: This book is a classic textbook written by the renowned American scholar Professor A. Papoulis. Since its first edition in 1965, it has been revised to the fourth edition and has been used as a graduate textbook in many universities in the United States for related majors, remaining popular for a long time. It is listed as the most cited book in the U.S. "Citation." In the fourth edition, the authors systematically and progressively present the content of probability theory and random processes according to deductive rules, combined with a large number of engineering examples that are very interesting. This book can be used as a textbook for senior undergraduate and graduate courses in probability theory and random processes, primarily for students in electronic and computer engineering, mathematics, and physics. It covers multiple topics and can be used in two or three different courses. Approximately one-third of the content in the fourth edition is new (chapters 3, 4, 5, 6, 8, and 10), including several new topics and new content in chapters 15 and 16... "Probability, Random Variables, and Random Processes" is a classic textbook written by the renowned American scholar Professor A. Papoulis. Since its first edition in 1965, it has been revised to the fourth edition and has been used as a graduate textbook in many universities in the United States for related majors. Its feature is the appropriate application of profound theories to engineering practice, making it highly favored by professionals in the engineering field. This book (fourth edition) has been extensively revised while retaining the style and essence of the previous three editions: about one-third of the chapter content has been updated, including several new topics and new content in chapters 15 and 16, a large number of new examples have been added, and some complex concepts have been further clarified to make them easier for readers to understand. This book can be used by graduate and senior undergraduate students in fields such as radio communication systems, signal processing, control theory, optimization, and filtering, as well as by R&D personnel and engineering technicians in related fields for reference.
Random Variable and Random Process
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