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This concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured throughout the book, including discussions of noise figures and noise and random signals in systems, and over 800 exercises are included. This edition has added coverage of poisson random processes, measurement of power spectra, and computer generation of random variables. It has added several new fully-worked examples and exercises at the end of chapters. Also available is a solutions manual (0-07-049274-3). [via]