LEADER 04317nam 22007335 450 001 9910360850403321 005 20200701105330.0 010 $a981-15-0561-6 024 7 $a10.1007/978-981-15-0561-4 035 $a(CKB)4100000009938163 035 $a(MiAaPQ)EBC5983848 035 $a(DE-He213)978-981-15-0561-4 035 $a(PPN)269146849 035 $a(EXLCZ)994100000009938163 100 $a20191122d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChannel Coding Techniques for Wireless Communications$b[electronic resource] /$fby K. Deergha Rao 205 $a2nd ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (484 pages) 225 1 $aForum for Interdisciplinary Mathematics,$x2364-6748 311 $a981-15-0560-8 327 $aChapter 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. 330 $aThis book discusses the latest channel coding techniques, MIMO systems, and 5G channel coding evolution. It provides a comprehensive overview of channel coding, covering modern techniques such as turbo codes, low-density parity-check (LDPC) codes, space?time coding, polar codes, LT codes, and Raptor codes as well as the traditional codes such as cyclic codes, BCH, RS codes, and convolutional codes. It also explores MIMO communications, which is an effective method for high-speed or high-reliability wireless communications. It also examines the evolution of 5G channel coding techniques. Each of the 13 chapters features numerous illustrative examples for easy understanding of the coding techniques, and MATLAB-based programs are integrated in the text to enhance readers? grasp of the underlying theories. Further, PC-based MATLAB m-files for illustrative examples are included for students and researchers involved in advanced and current concepts of coding theory. 410 0$aForum for Interdisciplinary Mathematics,$x2364-6748 606 $aInformation theory 606 $aWireless communication systems 606 $aMobile communication systems 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aCoding theory 606 $aComputers 606 $aInformation and Communication, Circuits$3https://scigraph.springernature.com/ontologies/product-market-codes/M13038 606 $aWireless and Mobile Communication$3https://scigraph.springernature.com/ontologies/product-market-codes/T24100 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 615 0$aInformation theory. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aCoding theory. 615 0$aComputers. 615 14$aInformation and Communication, Circuits. 615 24$aWireless and Mobile Communication. 615 24$aSignal, Image and Speech Processing. 615 24$aCoding and Information Theory. 615 24$aInformation Systems and Communication Service. 676 $a003.54 700 $aRao$b K. Deergha$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755718 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910360850403321 996 $aChannel coding techniques for wireless communications$91522886 997 $aUNINA