The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze and design the technology they develop. The first five chapters cover basics of probability and both discrete and continuous random variables. the later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing and computer network traffic analysis. With over 300 worked examples, some 800 homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students.
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