國立虎尾科技大學 |

Channel Coding Techniques for Wireless Communications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Channel Coding Techniques for Wireless Communications/ by K. Deergha Rao.
Author:	Rao, K. Deergha.
Description:	XIX, 476 p. 381 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Information theory. -
Online resource:	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

Channel Coding Techniques for Wireless Communications
LDR:02905nam a22004215i 4500 001 1010837
003 DE-He213
005 20200701105330.0
007 cr nn 008mamaa
008 210106s2019 si | s |||| 0|eng d
020 $a 9789811505614 $9 978-981-15-0561-4
024 7 $a 10.1007/978-981-15-0561-4 $2 doi
035 $a 978-981-15-0561-4
050 4 $a Q350-390
050 4 $a QA10.4
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBW $2 thema
082 0 4 $a 519 $2 23
100 1 $a Rao, K. Deergha. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1203929
245 1 0 $a Channel Coding Techniques for Wireless Communications $h [electronic resource] / $c by K. Deergha Rao.
250 $a 2nd ed. 2019.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a XIX, 476 p. 381 illus., 81 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Forum for Interdisciplinary Mathematics, $x 2364-6748
505 0 $a 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.
520 $a 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.
650 0 $a Information theory. $3 595305
650 0 $a Wireless communication systems. $3 562740
650 0 $a Mobile communication systems. $3 562917
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Coding theory. $3 561460
650 0 $a Computers. $3 565115
650 1 4 $a Information and Communication, Circuits. $3 671312
650 2 4 $a Wireless and Mobile Communication. $3 1207058
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Coding and Information Theory. $3 669784
650 2 4 $a Information Systems and Communication Service. $3 669203
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811505607
776 0 8 $i Printed edition: $z 9789811505621
776 0 8 $i Printed edition: $z 9789811505638
830 0 $a Forum for Interdisciplinary Mathematics, $x 2364-6748 ; $v 2 $3 1261985
856 4 0 $u https://doi.org/10.1007/978-981-15-0561-4
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)