| Record ID | marc_columbia/Columbia-extract-20221130-003.mrc:448187557:3401 |
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LEADER: 03401fam a2200421 a 4500
001 1485346
005 20220602044431.0
008 931213t19941994nyua b 001 0 eng
010 $a 93048869
020 $a0306445441
035 $a(OCoLC)29564311
035 $a(OCoLC)ocm29564311
035 $9AJB4021CU
035 $a(NNC)1485346
035 $a1485346
040 $aDLC$cDLC$dDLC$dNNC
050 00 $aQA268$b.G575 1994
082 00 $a003/.54$220
100 1 $aGolomb, Solomon W.$q(Solomon Wolf)$0http://id.loc.gov/authorities/names/n83827071
245 10 $aBasic concepts in information theory and coding :$bthe adventures of secret agent 00111 /$cSolomon W. Golomb, Robert E. Peile, Robert A. Scholtz.
260 $aNew York :$bPlenum Press,$c[1994], ©1994.
300 $ax, 431 pages :$billustrations ;$c24 cm.
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
490 1 $aApplications of communications theory
504 $aIncludes bibliographical references and indexes.
505 2 $aCh. 1. Introduction -- Ch. 2. Coding for Discrete Noiseless Channels -- Ch. 3. Synchronizable Codes -- Ch. 4. Infinite Discrete Sources -- Ch. 5. Error Correction I: Distance Concepts and Bounds -- Ch. 6. Error Correction II: The Information-Theoretic Viewpoint -- Ch. 7. Practical Aspects of Coding.
520 $aThe field of information theory and coding has developed into a vibrant and dynamic discipline that has revolutionized all aspects of information handling, storage, and communication. It has transformed our understanding of information in areas as diverse as biology, linguistics, and philosophy.
520 8 $aThis highly readable text provides a clear exposition of the fundamentals of discrete information theory and coding. The authors present in-depth discussions of the implications, interpretations, and examples of these basic principles, covering subjects that include information measures, Shannon's channel capacity/coding theorems, and source and channel coding concepts.
520 8 $aFocusing on the results of practical applications of the material, the book features the use of Secret Agent 00111, a recurring character who solves information problems for a living and provides a concrete context for abstract theories; thorough treatment of noiseless self-synchronizing codes not found in any other book; a clear explanation of the Lempel-Ziv algorithm; problem sets used successfully with students at the University of Southern California.
520 8 $aThis instructive resource is written for readers with a knowledge of basic calculus and the elementary concepts of discrete probability theory. Basic Concepts in Information Theory and Coding makes an excellent and accessible introduction to the field for researchers, professionals, and graduate-level students in communication systems, computer science, and electrical systems science.
650 0 $aCoding theory.$0http://id.loc.gov/authorities/subjects/sh85027654
650 0 $aInformation theory.$0http://id.loc.gov/authorities/subjects/sh85066289
700 1 $aPeile, Robert E.$0http://id.loc.gov/authorities/names/n93120854
700 1 $aScholtz, Robert A.$0http://id.loc.gov/authorities/names/n93120855
830 0 $aApplications of communications theory.$0http://id.loc.gov/authorities/names/n42002582
852 00 $boff,eng$hQA268$i.G575 1994