Probability in Electrical Engineering and Computer Science:

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Probability in Electrical Engineering and Computer Science:

Jean Walrand

ISBN10: 0615899366

ISBN13: 978-0615899367

Probability in Electrical Engineering and Computer Science:

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Amazon Code 0615899366
Sales Rank 420718
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.
Author Jean Walrand
Binding Paperback
EAN 9780615899367
ISBN 0615899366
ItemDimensions 900x74
Label Quoi?
Languages English
Manufacturer Quoi?
MPN colour illustrations
NumberOfItems 1
NumberOfPages 314
PackageDimensions 74x600
PackageQuantity 1
PartNumber colour illustrations
ProductGroup Book
ProductTypeName ABIS_BOOK
PublicationDate 2014-03-01
Publisher Quoi?
Studio Quoi?
Title Probability in Electrical Engineering and Computer Science: An Application-Driven Course
title Probability in Electrical Engineering and Computer Science
subtitle An Application-Driven Course
authors Jean Walrand
publishedDate 2014-03-01
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.
pageCount 314
printType BOOK
categories Computer science
maturityRating NOT_MATURE
language en
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publication_year 2014
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publication_day 1
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average_rating 4.00
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