大葉大學圖書館 |

A student's guide to coding and information theory /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	003.54
書名/作者:	A student's guide to coding and information theory // Stefan M. Moser, Po-Ning Chen.
其他題名:	A Student's Guide to Coding & Information Theory
作者:	Moser, Stefan M.,
其他作者:	Chen, Po-Ning,
面頁冊數:	1 online resource (xiii, 191 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Coding theory.
標題:	Information theory.
ISBN:	9781139059534 (ebook)
摘要、提要註:	This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject.
電子資源:	http://dx.doi.org/10.1017/CBO9781139059534

A student's guide to coding and information theory /
Moser, Stefan M.,

A student's guide to coding and information theory /A Student's Guide to Coding & Information TheoryStefan M. Moser, Po-Ning Chen. - 1 online resource (xiii, 191 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject.

ISBN: 9781139059534 (ebook)Subjects--Topical Terms:

188068
Coding theory.

LC Class. No.: Q360 / .M68 2012

Dewey Class. No.: 003.54

A student's guide to coding and information theory /
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