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Probability in Electrical Engineering and Computer Science: an Application-driven Course Jean Walrand
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¥ 10.939
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遠隔倉庫からの取り寄せ
発送予定日 年6月4日 - 年6月22日
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Probability in Electrical Engineering and Computer Science: an Application-driven Course
Jean Walrand
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 algorithms. Appendices provide the necessary background in basic probability and linear algebra. See https://sites.google.com/site/walrandpeecs/home.
