MARC Record from marc_columbia

LEADER: 05407cam a22006134a 4500
001 15067805
005 20220703231438.0
006 m o d
007 cr cnu---unuuu
008 060317s2002 flua ob 001 0 eng d
035 $a(OCoLC)ocm64769859
035 $a(NNC)15067805
040 $aN$T$beng$epn$cN$T$dOCLCQ$dYDXCP$dOCLCQ$dCAI$dIDEBK$dE7B$dOCLCQ$dEBLCP$dOCLCQ$dOCLCF$dOCLCQ$dOCLCO$dOCLCQ$dCRCPR$dTYFRS$dOCLCQ$dNLE$dUKMGB$dYDX$dOCLCQ$dSFB$dK6U$dOCLCO
015 $aGBB7C4948$2bnb
016 7 $a018421979$2Uk
019 $a74492667$a271586280$a276791846$a648137800$a1000430957$a1000435573$a1260361835
020 $a0203998103$q(electronic bk.)
020 $a9780203998106$q(electronic bk.)
020 $z1584883103$q(Cloth)
020 $a9780429225284$q(electronic bk.)
020 $a0429225288$q(electronic bk.)
020 $z9781584883104
035 $a(OCoLC)64769859$z(OCoLC)74492667$z(OCoLC)271586280$z(OCoLC)276791846$z(OCoLC)648137800$z(OCoLC)1000430957$z(OCoLC)1000435573$z(OCoLC)1260361835
037 $aEBL256987$beBook Library$nhttp://www.eblib.com
050 4 $aQ360$b.T62 2002eb
082 04 $a003/.54$222
049 $aZCUA
100 1 $aTogneri, Roberto.
245 10 $aFundamentals of information theory and coding design /$cRoberto Togneri, Christopher J.S. deSilva.
260 $aBoca Raton :$bChapman & Hall/CRC,$c©2002.
300 $a1 online resource (xii, 385 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aDiscrete mathematics and its applications
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
505 0 $aENTROPY AND INFORMATION; Structure; Structure in Randomness; First Concepts of Probability Theory; Surprise and Entropy; Units of Entropy; The Minimum and Maximum Values of Entropy; A Useful Inequality; Joint Probability Distribution Functions; Conditional Probability and Bayes' Theorem; Conditional Probability Distributions and Conditional Entropy; Information Sources; Memoryless Information Sources; Markov Sources and n-Gram Models; Stationary Distributions; The Entropy of Markov Sources; Sequences of Symbols; The Adjoint Source of a Markov Source; Extensions of Sources; Infinite Sample Spaces; INFORMATION CHANNELS; What Are Information Channels?; BSC and BEC Channels; Mutual Information; Noiseless and Deterministic Channels; Cascaded Channels; Additivity of Mutual Information; Channel Capacity: Maximum Mutual Information; Continuous Channels and Gaussian Channels; Information Capacity Theorem
505 0 $a; Rate Distortion Theory; SOURCE CODING; Introduction; Instantaneous Codes; The Kraft Inequality and McMillan's Theorem; Average Length and Compact Codes; Shannon's Noiseless Coding Theorem; Fano Coding; Huffman Coding; Arithmetic Coding; Higher-Order Modelling; DATA COMPRESSION; Introduction; Basic Concepts of Data Compression; Run-Length Coding; The CCITT Standard for Facsimile Transmission; Block-sorting Compression; Dictionary Coding; Statistical Compression; Prediction by Partial Matching; Image Coding; FUNDAMENTALS OF CHANNEL CODING; Introduction; Code Rate; Decoding Rules; Hamming Distance; Bounds on M,
505 0 $aMaximal Codes and Perfect Codes; Error Probabilities; Shannon's Fundamental Coding Theorem; ERROR-CORRECTING CODES; Introduction; Groups; Rings and Fields; Linear Spaces; Linear Spaces over the Binary Field; Linear Codes; Encoding and Decoding; Codes Derived from Hadamard Matrices; CYCLIC CODES; Introduction; Rings of Polynomials; Cyclic Codes; Encoding and Decoding of Cyclic Codes; Encoding and Decoding Circuits for Cyclic Codes; The Golay Code; Hamming Codes; Cyclic Redundancy Check Codes; Reed-Muller Codes; BURST-CORRECTING CODES; Introduction; Finite Fields; Irreducible Polynomials; Construction of Finite Fields; Bursts of Errors; Fire Codes; Minimum Polynomials; Bose-Chaudhuri-Hocquenghem Codes; Other Fields; Reed-Solomon Codes; CONVOLUTIONAL CODES; Introduction; ASimple Example; Binary Convolutional Codes; Decoding Convolutional Codes; The Viterbi Algorithm; Sequential
505 0 $aDecoding; Trellis Modulation; Turbo Codes; INDEX; ; Each chapter also contains a section of exercises and a section of references.
520 $aEmphasizing the fundamental concepts of information and coding theory, Togneri and deSilva (both of the School of Electrical, Electronic, and Computer Engineering at The U. of Western Australia) present a textbook meant for upper level undergraduate students in computer science and related fields. In addition to explaining the basic theory, they al.
650 0 $aInformation theory.
650 0 $aCoding theory.
650 6 $aThéorie de l'information.
650 7 $aCoding theory.$2fast$0(OCoLC)fst00866237
650 7 $aInformation theory.$2fast$0(OCoLC)fst00973149
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aDeSilva, Christopher J. S.
776 08 $iPrint version:$aTogneri, Roberto.$tFundamentals of information theory and coding design.$dBoca Raton : Chapman & Hall/CRC, ©2002$z1584883103$w(DLC) 2002191160$w(OCoLC)50906326
830 0 $aDiscrete mathematics and its applications.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15067805$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS