• $16.99

Publisher Description

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.

Jean Walrand is a Professor of Electrical Engineering and Computer Science at the University of California at Berkeley.

RELEASED
2014
April 30
LANGUAGE
EN
English
LENGTH
425
Pages
PUBLISHER
Jean Walrand
SELLER
Jean Walrand
SIZE
112
MB

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Extraordinary Computer Science Book

This is a comprehensive and one of a kind science book every 21st century computer scientist must have. Wonderful!

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