
This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order...

Introduction.- Probability and Random Variables.- Convergence and Limit Theorems.- Specification of Random Processes.- Discrete-Time Finite Markov Chains.- Wiener Process and White Gaussian Noise.- Poisson Process and Shot Noise.- Processing and Frequency Analysis of Random...