Probability, Random Variables and Stochastic Processes

* Treats probability theory and stochastic processes as a deductive discipline and illustrates them with basic engineering applications

* Approximately 1/3 of the text is new with new material on: Parameter Estimation, Random Walks, Markov Chains, and Queuing Theory

* Treats probability theory and stochastic processes as a deductive discipline and illustrates them with basic engineering applications

* Approximately 1/3 of the text is new with new material on: Parameter Estimation, Random Walks, Markov Chains, and Queuing Theory

S. Unnikrishna Pillai is a Professor of Electrical and Computer Engineering at Polytechnic Institute of NYU in Brooklyn, New York. His research interests include radar signal processing, blind identification, spectrum estimation, data recovery and wavform diversity. Dr. Pillai is the author of Array Signal Processign and co-author of Spectrum Estimation and system Identification, Prof. Papoulis’ Probability, Random Variables and Stochastic processes (Fourth edition), and Space Based Radar – Theory & Applications.