Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Introduction To Coding And Information TheoryISBN13:9780387947044ISBN10:0387947043Author:Roman, Steven (Author)Description: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 Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:1996-11-26Weight:1.7 lbsDimensions:0.87'' H x 9.55'' L x 7.21'' WNumber of Pages:326Language:English
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Book Title: Introduction To Coding And Information Theory
Item Length: 10in
Item Height: 0.3in
Item Width: 7in
Author: Steven Roman
Publication Name: Introduction to Coding and Information Theory
Format: Hardcover
Language: English
Publisher: Springer NY
Publication Year: 1996
Series: Undergraduate Texts in Mathematics Ser.
Type: Textbook
Item Weight: 67.7 Oz
Number of Pages: Xiv, 326 Pages