000 05631nam a2200877 i 4500
001 7886195
003 IEEE
005 20220712205945.0
006 m o d
007 cr |n|||||||||
008 170417s2008 mau ob 001 eng d
020 _a9781119345244
_qelectronic bk.
020 _z9781119345336
_qprint
020 _z9781119345220
_qelectronic bk.
020 _z1119345227
_qelectronic bk.
020 _z1119345243
_qelectronic bk.
024 7 _a10.1002/9781119345244
_2doi
035 _a(CaBNVSL)mat07886195
035 _a(IDAMS)0b00006485c47791
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK5102.92
082 0 4 _a003/.54
_223
100 1 _aAnderson, John B.,
_eauthor.
_929054
245 1 0 _aBandwidth efficient coding /
_c.John B. Anderson.
264 1 _aPiscataway, New Jersey :
_bIEEE Press,
_c2017.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2017]
300 _a1 PDF (208 pages).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aIEEE series on digital & mobile communication
504 _aIncludes bibliographical references and index.
505 0 _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
506 _aRestricted to subscribers or individual electronic text purchasers.
520 _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.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aOnline resource, title from PDF title page (EBSCO, viewed March 14, 2017).
650 0 _aCoding theory.
_94154
650 0 _aWireless communication systems.
_93474
650 7 _aCoding theory.
_2fast
_94154
650 7 _aWireless communication systems.
_2fast
_93474
655 4 _aElectronic books.
_93294
695 _aAcceleration
695 _aAntennas
695 _aBandwidth
695 _aChannel coding
695 _aComplexity theory
695 _aConstellation diagram
695 _aConvolution
695 _aConvolutional codes
695 _aDatabases
695 _aEigenvalues and eigenfunctions
695 _aEncoding
695 _aFeature extraction
695 _aFourier transforms
695 _aFrequency division multiplexing
695 _aFrequency modulation
695 _aKernel
695 _aModulation
695 _aMultiple signal classification
695 _aOFDM
695 _aQuadrature amplitude modulation
695 _aReceivers
695 _aSpeech
695 _aSupport vector machines
695 _aTime-frequency analysis
695 _aTraining
695 _aWhite noise
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_929055
710 2 _aWiley,
_epublisher.
_929056
776 0 8 _iPrint version:
_z9781119345336
830 0 _aIEEE series on mobile & digital communication.
_96802
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7886195
942 _cEBK
999 _c74496
_d74496