In-depth mathematical treatment, including examples of real systems to explain many of the probabilistic models and the use of Matlab both in examples and problem assignments, ensures students can relate to the mathematical material in practical terms Unique applications—covering issues such as reliability, measurement errors, and arrival and departure of events in networks—provide students with a broader range of topical coverage.

1.Introduction 2.Basic probability 3.A Single random variable 4.Functions of a random variable and expectations 5.Two random variables 6.Expectations and functions 7.Characteristic function 8.Multiple random vatiables 9.Basic statistics 10.Introduction to hypothesis testing 11.Basic concepts of reliability 12.Introduction to random processes 13.Processing of random signals 14.Power spectrum

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