LEADER 04289nam 2200529 450 001 9910831084703321 005 20240219154638.0 010 $a1-119-34524-3 010 $a1-119-34528-6 010 $a1-119-34522-7 024 7 $a10.1002/9781119345244 035 $a(CKB)3710000001096262 035 $a(MiAaPQ)EBC4819952 035 $a(CaBNVSL)mat07886195 035 $a(IDAMS)0b00006485c47791 035 $a(IEEE)7886195 035 $a(PPN)256186626 035 $a(EXLCZ)993710000001096262 100 $a20170417d2008 uy 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBandwidth efficient coding /$f.John B. Anderson 210 1$aPiscataway, New Jersey :$cIEEE Press,$d2017. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2017] 215 $a1 online resource (211 pages) 225 1 $aIEEE series on digital & mobile communication 311 $a1-119-34533-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a-- Preface ix -- 1 Introduction 1 -- 1.1 Electrical Communication, 2 -- 1.2 Modulation, 4 -- 1.3 Time and Bandwidth, 9 -- 1.4 Coding Versus Modulation, 13 -- 1.5 A Tour of the Book, 14 -- 1.6 Conclusions, 15 -- 2 Communication Theory Foundation 17 -- 2.1 Signal Space, 18 -- 2.2 Optimal Detection, 24 -- 2.3 Pulse Aliasing, 35 -- 2.4 Signal Phases and Channel Models, 37 -- 2.5 Error Events, 43 -- 2.6 Conclusions, 50 -- 3 Gaussian Channel Capacity 58 -- 3.1 Classical Channel Capacity, 59 -- 3.2 Capacity for an Error Rate and Spectrum, 64 -- 3.3 Linear Modulation Capacity, 68 -- 3.4 Conclusions, 72 -- 4 Faster than Nyquist Signaling 79 -- 4.1 Classical FTN, 80 -- 4.2 Reduced ISI-BCJR Algorithms, 87 -- 4.3 Good Convolutional Codes, 101 -- 4.4 Iterative Decoding Results, 110 -- 4.5 Conclusions, 114 -- 5 Multicarrier FTN 127 -- 5.1 Classical Multicarrier FTN, 128 -- 5.2 Distances, 134 -- 5.3 Alternative Methods and Implementations, 138 -- 5.4 Conclusions, 143 -- 6 Coded Modulation Performance 145 -- 6.1 Set-Partition Coding, 146 -- 6.2 Continuous Phase Modulation, 153 -- 6.3 Conclusions for Coded Modulation; Highlights, 161 -- 7 Optimal Modulation Pulses 163 -- 7.1 Slepian's Problem, 164 -- 7.2 Said's Optimum Distance Pulses, 177 -- 7.3 Conclusions, 185 -- Index 190 330 $aThis book addresses a new coding solution to the challenge of communicating more bits of information in the same radio spectrum Bandwidth Efficient Coding addresses the major challenge in communication engineering today: how to communicate more bits of information in the same radio spectrum. Energy and bandwidth are needed to transmit bits, and bandwidth affects capacity the most. Methods have been developed that are ten times as energy efficient at a given bandwidth consumption as simple methods. These employ signals with very complex patterns and are called "coding" solutions. The book begins with classical theory before introducing new techniques that combine older methods of error correction coding and radio transmission in order to create narrowband methods that are as efficient in both spectrum and energy as nature allows. Other topics covered include modulation techniques such as CPM, coded QAM and pulse design. In addition, this book: . Explores concepts and new transmission methods that have arisen in the last 15 years. Discusses the method of faster than Nyquist signaling. Provides self-education resources by including design parameters and short MATLAB routines Bandwidth Efficient Coding takes a fresh look at classical information theory and introduces a different point of view for research and development engineers and graduate students in communication engineering and wireless communication. 410 0$aIEEE series on mobile & digital communication. 606 $aCoding theory 606 $aWireless communication systems 615 0$aCoding theory. 615 0$aWireless communication systems. 676 $a003.54 700 $aAnderson$b John B.$08026 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910831084703321 996 $aBandwidth efficient coding$94029761 997 $aUNINA