LEADER 00977nam a2200265 i 4500 001 991001906129707536 005 20020508183538.0 008 991130s1999 de ||| | ger 020 $a3402048906 035 $ab10930462-39ule_inst 035 $aPARLA150967$9ExL 040 $aDip.to Filosofia$bita 100 1 $aHonnefelder, Ludwig$0537944 245 10$aAlbertus Magnus und die Editio Coloniensis /$cLudwig Honnefelder ; hrsg. Mechthild Dreyer 260 $aMunster :$bAschendorff,$c1999 300 $a38 p. ;$c23 cm. 490 0 $aLectio Albertina ;$v1 600 04$aAlberto :$cMagno 700 1 $aDreyer, Mechthild 907 $a.b10930462$b23-02-17$c28-06-02 912 $a991001906129707536 945 $aLE005 189 ALB01. LECTIO. 01$g1$i2005000059742$lle005$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11035468$z28-06-02 996 $aAlbertus Magnus und die Editio Coloniensis$9919868 997 $aUNISALENTO 998 $ale005$b01-01-99$cm$da $e-$fger$gde $h0$i1 LEADER 05516nam 2200685 450 001 9910821565003321 005 20200520144314.0 010 $a1-281-22731-5 010 $a9786611227319 010 $a0-08-050925-8 035 $a(CKB)1000000000384504 035 $a(EBL)333990 035 $a(OCoLC)437202754 035 $a(SSID)ssj0000182494 035 $a(PQKBManifestationID)11182587 035 $a(PQKBTitleCode)TC0000182494 035 $a(PQKBWorkID)10172644 035 $a(PQKB)10798710 035 $a(Au-PeEL)EBL333990 035 $a(CaPaEBR)ebr10216746 035 $a(CaONFJC)MIL122731 035 $a(MiAaPQ)EBC333990 035 $a(PPN)175382166 035 $a(EXLCZ)991000000000384504 100 $a20151125h20062006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to data compression /$fKhalid Sayood, University of Nebraska 205 $aThird edition. 210 1$aAmsterdam, [Netherlands] :$cMorgan Kaufmann,$d2006. 210 4$dİ2006 215 $a1 online resource (703 p.) 225 1 $aMorgan Kaufmann Series in Multimedia Information and Systems 300 $aDescription based upon print version of record. 311 $a0-12-620862-X 320 $aIncludes bibliographical references and index. 327 $aFront cover; Title page; Copyright page; Table of contents; Preface; Audience; Course Use; Approach; Learning from This Book; Content and Organization; A Personal View; Acknowledgments; 1 Introduction; 1.1 Compression Techniques; 1.1.1 Lossless Compression; 1.1.2 Lossy Compression; 1.1.3 Measures of Performance; 1.2 Modeling and Coding; 1.3 Summary; 1.4 Projects and Problems; 2 Mathematical Preliminaries for Lossless Compression; 2.1 Overview; 2.2 A Brief Introduction to Information Theory; 2.2.1 Derivation of Average Information; 2.3 Models; 2.3.1 Physical Models; 2.3.2 Probability Models 327 $a2.3.3 Markov Models2.3.4 Composite Source Model; 2.4 Coding; 2.4.1 Uniquely Decodable Codes; 2.4.2 Prefix Codes; 2.4.3 The Kraft-McMillan Inequality; 2.5 Algorithmic Information Theory; 2.6 Minimum Description Length Principle; 2.7 Summary; 2.8 Projects and Problems; 3 Huffman Coding; 3.1 Overview; 3.2 The Huffman Coding Algorithm; 3.2.1 Minimum Variance Huffman Codes; 3.2.2 Optimality of Huffman Codes; 3.2.3 Length of Huffman Codes; 3.2.4 Extended Huffman Codes; 3.3 Nonbinary Huffman Codes; 3.4 Adaptive Huffman Coding; 3.4.1 Update Procedure; 3.4.2 Encoding Procedure 327 $a3.4.3 Decoding Procedure3.5 Golomb Codes; 3.6 Rice Codes; 3.6.1 CCSDS Recommendation for Lossless Compression; 3.7 Tunstall Codes; 3.8 Applications of Huffman Coding; 3.8.1 Lossless Image Compression; 3.8.2 Text Compression; 3.8.3 Audio Compression; 3.9 Summary; 3.10 Projects and Problems; 4 Arithmetic Coding; 4.1 Overview; 4.2 Introduction; 4.3 Coding a Sequence; 4.3.1 Generating a Tag; 4.3.2 Deciphering the Tag; 4.4 Generating a Binary Code; 4.4.1 Uniqueness and Ef f iciency of the Arithmetic Code; 4.4.2 Algorithm Implementation; 4.4.3 Integer Implementation 327 $a4.5 Comparison of Huffman and Arithmetic Coding4.6 Adaptive Arithmetic Coding; 4.7 Applications; 4.8 Summary; 4.9 Projects and Problems; 5 Dictionary Techniques; 5.1 Overview; 5.2 Introduction; 5.3 Static Dictionary; 5.3.1 Digram Coding; 5.4 Adaptive Dictionary; 5.4.1 The LZ77 Approach; 5.4.2 The LZ78 Approach; 5.5 Applications; 5.5.1 File Compression-UNIX; 5.5.2 Image Compression-The Graphics Interchange Format (GIF); 5.5.3 Image Compression-Portable Network Graphics (PNG); 5.5.4 Compression over Modems-V.42 bis; 5.6 Summary; 5.7 Projects and Problems; 6 Context-Based Compression 327 $a6.1 Overview6.2 Introduction; 6.3 Prediction with Partial Match (ppm); 6.3.1 The Basic Algorithm; 6.3.2 The Escape Symbol; 6.3.3 Length of Context; 6.3.4 The Exclusion Principle; 6.4 The Burrows-Wheeler Transform; 6.4.1 Move-to-Front Coding; 6.5 Associative Coder of Buyanovsky (ACB); 6.6 Dynamic Markov Compression; 6.7 Summary; 6.8 Projects and Problems; 7 Lossless Image Compression; 7.1 Overview; 7.2 Introduction; 7.2.1 The Old JPEG Standard; 7.3 CALIC; 7.4 JPEG-LS; 7.5 Multiresolution Approaches; 7.5.1 Progressive Image Transmission; 7.6 Facsimile Encoding; 7.6.1 Run-Length Coding 327 $a7.6.2 CCITT Group 3 and 4-Recommendations T.4 and T.6 330 $aEach edition of Introduction to Data Compression has widely been considered the best introduction and reference text on the art and science of data compression, and the third edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The third edition includes all the cutting edge updates the reader will need during the work day and in class. Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques with detailed instruction for their app 410 0$aMorgan Kaufmann series in multimedia information and systems. 606 $aData compression (Telecommunication) 606 $aCoding theory 615 0$aData compression (Telecommunication) 615 0$aCoding theory. 676 $a005.74/6 700 $aSayood$b Khalid$028099 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821565003321 996 $aIntroduction to data compression$942058 997 $aUNINA