Steven Roman
Introduction to Coding and Information Theory
Gebonden Engels 1996 1997e druk 9780387947044Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.
Specificaties
ISBN13:9780387947044
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:326
Uitgever:Springer New York
Druk:1997
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Lezersrecensies
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Inhoudsopgave
Introduction:<BR>Preliminaries; Miscellany; Some Probability; Matrices<BR>1. An Introduction to Codes<BR>Strings and Things; What are codes? Uniquely Decipherable Codes;<BR>Instantaneous Codes and Kraft's Theorem<BR>2. Efficient Encoding<BR>Information Sources; Average Codeword Length; Huffman Encoding; The<BR>Proof that Huffman Encoding is the Most Efficient<BR>3. Noiseless Coding<BR>Entropy; Properties of Entropy; Extensions of an Information 1= Source; The Noiseless Coding Theorem<BR>II Coding Theory<BR>4. The Main Coding Theory Problem<BR>Communications Channels; Decision Rules; Nearest Neighbor Decoding;<BR>
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