An Introduction to Single-User Information Theory

This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon's information theory, discussing the fundamental concepts and indispensable results of Shannon's mathematical theory of communications. It includes five meticulously written core chapters (wi...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autor: Alajaji, Fady (Autor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Singapore , 2018.
Vydání:1st ed. 2018.
Edice:Springer Undergraduate Texts in Mathematics and Technology,
Témata:
ISBN:9789811080012
ISSN:1867-5506
On-line přístup: Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

MARC

LEADER 00000nam a22000005i 4500
003 SK-BrCVT
005 20220618120648.0
007 cr nn 008mamaa
008 180424s2018 si | s |||| 0|eng d
020 |a 9789811080012 
024 7 |a 10.1007/978-981-10-8001-2  |2 doi 
035 |a CVTIDW10780 
040 |a Springer-Nature  |b eng  |c CVTISR  |e AACR2 
041 |a eng 
100 1 |a Alajaji, Fady.  |4 aut 
245 1 3 |a An Introduction to Single-User Information Theory  |h [electronic resource] /  |c by Fady Alajaji, Po-Ning Chen. 
250 |a 1st ed. 2018. 
260 1 |a Singapore :  |b Springer Singapore ,  |c 2018. 
300 |a XVII, 323 p. 30 illus.  |b online resource. 
490 1 |a Springer Undergraduate Texts in Mathematics and Technology,  |x 1867-5506 
500 |a Mathematics and Statistics  
505 0 |a Introduction -- Information Measures for Discrete Systems -- Lossless Data Compression -- Data Transmission and Channel Capacity -- Differential Entropy and Gaussian Channels -- Lossy Data Compression and Transmission. 
516 |a text file PDF 
520 |a This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon's information theory, discussing the fundamental concepts and indispensable results of Shannon's mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor's solutions manual is available. 
650 0 |a Information theory. 
856 4 0 |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-981-10-8001-2  |y Vzdialený prístup pre registrovaných používateľov 
910 |b ZE08060 
919 |a 978-981-10-8001-2 
974 |a andrea.lebedova  |f Elektronické zdroje 
992 |a SUD 
999 |c 275463  |d 275463