LEADER 05349nam 2200649Ia 450 001 9910778320403321 005 20230721022700.0 010 $a1-282-27930-0 010 $a9786612279300 010 $a0-470-69519-6 035 $a(CKB)1000000000790783 035 $a(EBL)470777 035 $a(OCoLC)609849825 035 $a(SSID)ssj0000361831 035 $a(PQKBManifestationID)11242747 035 $a(PQKBTitleCode)TC0000361831 035 $a(PQKBWorkID)10362234 035 $a(PQKB)10431678 035 $a(MiAaPQ)EBC470777 035 $a(Au-PeEL)EBL470777 035 $a(CaPaEBR)ebr10332971 035 $a(CaONFJC)MIL227930 035 $a(EXLCZ)991000000000790783 100 $a20090427d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to digital communication systems$b[electronic resource] /$fKrzysztof Weso?owski 210 $aChichester, West Sussex, U.K. ;$aHoboken, N.J. $cJ. Wiley$d2009 215 $a1 online resource (579 p.) 300 $aDescription based upon print version of record. 311 $a0-470-69518-8 311 $a0-470-98629-8 320 $aIncludes bibliographical references and index. 327 $aIntroduction to Digital Communication Systems; Contents; Preface; About the Author; 1 Elements of Information Theory; 1.1 Introduction; 1.2 Basic Concepts; 1.3 Communication System Model; 1.4 Concept of Information and Measure of Amount of Information; 1.5 Message Sources and Source Coding; 1.5.1 Models of Discrete Memory Sources; 1.5.2 Discrete Memoryless Source; 1.5.3 Extension of a Memoryless Source; 1.5.4 Markov Sources; 1.5.5 Entropy of the Markov Source; 1.5.6 Source Associated with the Markov Source; 1.6 Discrete Source Coding; 1.6.1 Huffman Coding; 1.6.2 Shannon-Fano Coding 327 $a1.6.3 Dynamic Huffman Coding1.6.4 Arithmetic Coding; 1.6.5 Lempel-Ziv Algorithm; 1.6.6 Case study: Source Coding in Facsimile Transmission; 1.7 Channel Models from the Information Theory Point of View; 1.7.1 Discrete Memoryless Channel; 1.7.2 Examples of Discrete Memoryless Channel Models; 1.7.3 Example of a Binary Channel Model with Memory; 1.8 Mutual Information; 1.9 Properties of Mutual Information; 1.10 Channel Capacity; 1.11 Decision Process and its Rules; 1.11.1 Idea of Decision Rule; 1.11.2 Maximum a Posteriori Probability (MAP) Decision Rule; 1.11.3 Maximum Likelihood Decision Rule 327 $a1.12 Differential Entropy and Average Amount of Information for Continuous Variables1.13 Capacity of Band-Limited Channel with Additive White Gaussian Noise; 1.14 Implication of AWGN Channel Capacity for Digital Transmission; 1.15 Capacity of a Gaussian Channel with a Given Channel Characteristic; 1.16 Capacity of a Flat Fading Channel; 1.17 Capacity of a Multiple-Input Multiple-Output Channel; Problems; 2 Channel Coding; 2.1 Idea of Channel Coding; 2.2 Classification of Codes; 2.3 Hard- and Soft-Decision Decoding; 2.4 Coding Gain; 2.5 Block Codes; 2.5.1 Parity Check Matrix 327 $a2.5.2 Generator Matrix2.5.3 Syndrome; 2.5.4 Hamming Codes; 2.5.5 The Iterated Code; 2.5.6 Polynomial Codes; 2.5.7 Codeword Generation for the Polynomial Codes; 2.5.8 Cyclic Codes; 2.5.9 Parity Check Polynomial; 2.5.10 Polynomial Codes Determined by Roots; 2.5.11 Syndrome Polynomial; 2.5.12 BCH Codes; 2.5.13 Reed-Solomon Codes; 2.5.14 Golay Codes; 2.5.15 Maximum Length Codes; 2.5.16 Code Modifications; 2.6 Nonalgebraic Decoding for Block Codes; 2.6.1 Meggitt Decoder; 2.6.2 Majority Decoder; 2.6.3 Information Set Decoding; 2.7 Algebraic Decoding Methods for Cyclic Codes 327 $a2.8 Convolutional Codes and Their Description2.8.1 Convolutional Code Description; 2.8.2 Code Transfer Function; 2.8.3 Convolutional Codes with Rate k/n; 2.9 Convolutional Code Decoding; 2.9.1 Viterbi Algorithm; 2.9.2 Soft-Output Viterbi Algorithm (SOVA); 2.9.3 Error Probability Analysis for Convolutional Codes; 2.10 Concatenated Coding; 2.11 Case Studies: Two Examples of Concatenated Coding; 2.11.1 Concatenated Coding in Deep Space Communications; 2.11.2 Channel Coding in the DVB Satellite Segment; 2.12 Turbo Codes; 2.12.1 RSCC Code; 2.12.2 Basic Turbo Code Encoder Scheme 327 $a2.12.3 RSCC Code MAP Decoding 330 $aCombining theoretical knowledge and practical applications, this advanced-level textbook covers the most important aspects of contemporary digital communication systems. Introduction to Digital Communication Systems focuses on the rules of functioning digital communication system blocks, starting with the performance limits set by the information theory. Drawing on information relating to turbo codes and LDPC codes, the text presents the basic methods of error correction and detection, followed by baseband transmission methods, and single- and multi-carrier digital modulations. The basi 606 $aDigital communications 606 $aTelecommunication 615 0$aDigital communications. 615 0$aTelecommunication. 676 $a621.38 676 $a621.382 700 $aWeso?owski$b Krzysztof$01576483 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778320403321 996 $aIntroduction to digital communication systems$93854313 997 $aUNINA