Probability in Electrical Engineering and Computer Science: An Application-Driven Course
Jean Walrand
[PDF.cm22] Probability in Electrical Engineering and Computer Science: An Application-Driven Course Rating: 3.82 (430 Votes)
Probability in Electrical Engineering Jean Walrand epub Probability in Electrical Engineering Jean Walrand pdf download Probability in Electrical Engineering Jean Walrand pdf file Probability in Electrical Engineering Jean Walrand audiobook Probability in Electrical Engineering Jean Walrand book review Probability in Electrical Engineering Jean Walrand summary | #1129920 in Books | 2014-03-01 | Original language:English | PDF # 1 | 9.00 x.74 x6.00l,.93 | File type: PDF | 314 pages||1 of 1 people found the following review helpful.| Even if you don't expect too much fun, you will have for sure.|By matthias stifter|Guiding into the topic of statistical and probabilistic methods by applications is unusual at first, but starts to give a lot of insight. Theory is provided in extra chapters, containing necessary background and proofs of theorems. I really like the background context of the applications shedding|About the Author|Jean Walrand received his Ph.D. in EECS from UC Berkeley and has been on the faculty of that department since 1982. He is the author of An Introduction to Queueing Networks (Prentice Hall, 1988) and of Communication Networks: A First Course (2nd
The book is designed for a junior/senior level course. Applications drive the material: PageRank, Multiplexing, Digital Link, Tracking, Speech Recognition, Route Planning and more. Topics include Markov chains, detection, coding, estimation, Viterbi algorithm, expectation maximization, clustering, compressed sensing, recommender systems, Kalman Filter, Markov decision problems, LQG, and channel capacity. Matlab examples are used to simulate models and to implement the a...
You can specify the type of files you want, for your device.Probability in Electrical Engineering and Computer Science: An Application-Driven Course | Jean Walrand. A good, fresh read, highly recommended.
