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This book introduces the reader to the MIMO-OFDM system, in Rayleigh frequency selective-channels. Orthogonal frequency division multiplexing (OFDM) has been adopted in the wireless local-area network standards IEEE 802.11a due to its high spectral efficiency and ability to deal with frequency selective fading. The combination of OFDM with spectral efficient multiple antenna techniques makes the OFDM a good candidate to overcome the frequency selective problems.

Engineering. --- Communications Engineering, Networks. --- Information Storage and Retrieval. --- Information storage and retrieval systems. --- Telecommunication. --- Ingénierie --- Systèmes d'information --- Télécommunications --- MIMO systems. --- Orthogonal frequency division multiplexing. --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Multiple input-multiple output systems --- OFDM (Telecommunication) --- Information storage and retrieval. --- Electrical engineering. --- Broadband communication systems --- Multiplexing --- Spread spectrum communications --- Wireless communication systems --- Information storage and retrieva. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Electric engineering --- Engineering

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The book discusses modern channel coding techniques for wireless communications such as turbo codes, low-density parity check (LDPC) codes, space–time (ST) coding, RS (or Reed–Solomon) codes and convolutional codes. Many illustrative examples are included in each chapter for easy understanding of the coding techniques. The text is integrated with MATLAB-based programs to enhance the understanding of the subject’s underlying theories. It includes current topics of increasing importance such as turbo codes, LDPC codes, Luby transform (LT) codes, Raptor codes, and ST coding in detail, in addition to the traditional codes such as cyclic codes, BCH (or Bose–Chaudhuri–Hocquenghem) and RS codes and convolutional codes. Multiple-input and multiple-output (MIMO) communications is a multiple antenna technology, which is an effective method for high-speed or high-reliability wireless communications. PC-based MATLAB m-files for the illustrative examples are provided on the book page on Springer.com for free download, which will help students and researchers involved in advanced and current concepts in coding theory. Channel coding, the core of digital communication and data storage, has undergone a major revolution as a result of the rapid growth of mobile and wireless communications. The book is divided into 11 chapters. Assuming no prior knowledge in the field of channel coding, the opening chapters (1–2) begin with basic theory and discuss how to improve the performance of wireless communication channels by using channel coding. Chapters 3–4 introduce Galois fields and present detailed coverage of BCH codes and RS codes. Chapters 5–7 introduce the family of convolutional codes, hard and soft-decision Viterbi algorithms, turbo codes, BCJR (or Bahl–Cocke–Jelinek–Raviv) algorithm for turbo decoding and studies trellis coded modulation (TCM), turbo TCM (TTCM), bit-interleaved coded modulation (BICM) as well as iterative BICM (BICM-ID) and compares them under various channel conditions. Chapters 8–9 focus on LDPC codes, LT codes and Raptor codes. Chapters 10–11 discuss MIMO systems and ST coding.    .

Mathematics. --- Information and Communication, Circuits. --- Mathematical Applications in Computer Science. --- Computational Science and Engineering. --- Coding and Information Theory. --- Signal, Image and Speech Processing. --- Information Systems and Communication Service. --- Coding theory. --- Information systems. --- Computer science. --- Mathématiques --- Codage --- Informatique --- MIMO systems. --- Wireless communication systems -- Management. --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Theory --- Computer Science --- Information storage and retrieval systems --- Systèmes d'information --- Wireless communication systems --- Management. --- Multiple input-multiple output systems --- Computers. --- Information theory. --- Computer science --- Computer mathematics. --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Informatics --- Science --- Math --- Computer science—Mathematics. --- Signal processing. --- Image processing. --- Speech processing systems. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Computer mathematics --- Electronic data processing --- Communication theory --- Communication