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Channel Coding Techniques for Wireless Communications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Channel Coding Techniques for Wireless Communications/ by K. Deergha Rao.
作者:	Rao, K. Deergha.
面頁冊數:	XIX, 476 p. 381 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Information theory. -
電子資源:	https://doi.org/10.1007/978-981-15-0561-4
ISBN:	9789811505614

Channel Coding Techniques for Wireless Communications
Rao, K. Deergha.

Channel Coding Techniques for Wireless Communications[electronic resource] /by K. Deergha Rao. - 2nd ed. 2019. - XIX, 476 p. 381 illus., 81 illus. in color.online resource. - Forum for Interdisciplinary Mathematics,2364-6748. - Forum for Interdisciplinary Mathematics,2.

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.

ISBN: 9789811505614

Standard No.: 10.1007/978-981-15-0561-4doiSubjects--Topical Terms:

595305
Information theory.

LC Class. No.: Q350-390

Dewey Class. No.: 519

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