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＜電子ブック＞
Channel Coding Techniques for Wireless Communications / by K. Deergha Rao
(Forum for Interdisciplinary Mathematics. ISSN:23646756)

版	2nd ed. 2019.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2019
本文言語	英語
大きさ	XIX, 476 p. 381 illus., 81 illus. in color : online resource
著者標目	*Rao, K. Deergha author SpringerLink (Online service)
件　名	LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Wireless communication systems LCSH:Mobile communication systems LCSH:Signal processing LCSH:Coding theory LCSH:Information theory LCSH:Computer networks  FREE:Mathematical Applications in Computer Science FREE:Wireless and Mobile Communication FREE:Signal, Speech and Image Processing FREE:Coding and Information Theory FREE:Computer Communication Networks
一般注記	Chapter 1. Introduction -- Chapter 2. Performance of Digital Communication Over Fading Channels -- Chapter 3. Galois Field Theory -- Chapter 4. Linear Block Codes -- Chapter 5. Convolutional Codes -- Chapter 6. Turbo Codes -- Chapter 7. Bandwidth Efficient Coded Modulation -- Chapter 8. Low Density Parity Check codes -- Chapter 9. LT and Raptor Codes -- Chapter 10. Polar Codes -- Chapter 11. MIMO System -- Chapter 12. Space–Time Coding -- Chapter 13. Channel Codes Evolution for 5G This book discusses the latest channel coding techniques, MIMO systems, and 5G channel coding evolution. It provides a comprehensive overview of channel coding, covering modern techniques such as turbo codes, low-density parity-check (LDPC) codes, space–time coding, polar codes, LT codes, and Raptor codes as well as the traditional codes such as cyclic codes, BCH, RS codes, and convolutional codes. It also explores MIMO communications, which is an effective method for high-speed or high-reliability wireless communications. It also examines the evolution of 5G channel coding techniques. Each of the 13 chapters features numerous illustrative examples for easy understanding of the coding techniques, and MATLAB-based programs are integrated in the text to enhance readers’ grasp of the underlying theories. Further, PC-based MATLAB m-files for illustrative examples are included for students and researchers involved in advanced and current concepts of coding theory HTTP:URL=https://doi.org/10.1007/978-981-15-0561-4

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