Probability and Random Processes for Electrical and Computer Engineers
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Description: The theory of probability has important applications for computer and electrical engineers as a tool to explain, model, analyse and design the technology they develop. Consequently, a course in probability and random processes is a prerequisite for further study in communications or signal processing. Gubner presents a primary text that progresses from advanced undergraduate level, assuming a modest knowledge of probability, through to the more complex topics suitable for graduates, including random vectors, Gaussian random vectors, random processes and Markov chains. Describing tools and results that are used extensively in the field, this is more than a textbook: it is also a valuable reference for researchers working in communications, signal processing, and computer network traffic analysis. With chapter outlines, over 300 worked examples, some 800 problems and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $121.00
Copyright year: 2006
Publisher: Cambridge University Press
Publication date: 6/1/2006
Size: 6.75" wide x 9.75" long x 1.25" tall
|Introduction to probability|
|Introduction to discrete random variables|
|More about discrete random variables|
|Continuous random variables|
|Cumulative distribution functions and their applications|
|Bivariate random variables|
|Introduction to random vectors|
|Gaussian random vectors|
|Introduction to random processes|
|Advanced concepts in random processes|
|Introduction to Markov chains|
|Mean convergence and applications|
|Other modes of convergence|
|Self similarity and long-range dependence|