Inhaltsangabe
Low-density parity-check (LDPC) code, a very promising near-optimal error correction code (ECC), is being widely considered in next generation industry standards. In this report, an introduction of LDPC codes with their construction (encoding) and decoding is explained. What idea motivated this project is explained in the chapter 2, which is based on literature survey done on the LDPC codes. The Progressive Edge Growth (PEG) algorithm is most widely used for the construction of LDPC codes. The construction schemes for LDPC codes are explained in Chapter 3. The soft decision decoding schemes are most widely used for the decoding of LDPC codes. These decoding algorithms are implemented using real additions only and also not dependent on power spectral density. The various decoding algorithms are explained in chapter 4. How these algorithms are useful for standards DVB-S2, T2 and WiMAX are explained. In VLSI implementation these algorithms using shift-LDPC codes these algorithms reduces hardware complexity. LDPC codes are considered to be one of the best classes of error correcting codes. In this report, several problems in this area are studied.
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Über die Autorin bzw. den Autor
O Sr. Vinayak Suhas Kumbhar concluiu o mestrado em tecnologia de comunicação com e sem fios pela Faculdade de Engenharia de Pune. Atualmente, trabalha como professor assistente na DKTES TEI, Ichalkaranji, Índia. A sua área de especialização é o processamento de sinais analógicos.
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Design and Analysis of LDPC Codes Performance
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LAP LAMBERT Academic Publishing Mai 2018, 2018
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Low-density parity-check (LDPC) code, a very promising near-optimal error correction code (ECC), is being widely considered in next generation industry standards. In this report, an introduction of LDPC codes with their construction (encoding) and decoding is explained. What idea motivated this project is explained in the chapter 2, which is based on literature survey done on the LDPC codes. The Progressive Edge Growth (PEG) algorithm is most widely used for the construction of LDPC codes. The construction schemes for LDPC codes are explained in Chapter 3. The soft decision decoding schemes are most widely used for the decoding of LDPC codes. These decoding algorithms are implemented using real additions only and also not dependent on power spectral density. The various decoding algorithms are explained in chapter 4. How these algorithms are useful for standards DVB-S2, T2 and WiMAX are explained. In VLSI implementation these algorithms using shift-LDPC codes these algorithms reduces hardware complexity. LDPC codes are considered to be one of the best classes of error correcting codes. In this report, several problems in this area are studied. 72 pp. Englisch. Bestandsnummer des Verkäufers 9786139833627
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumbhar VinayakMr. Vinayak Suhas Kumbhar completed M.Tech in wired and wireless communication from college of Engineering Pune. He is currently working as assistant professor in Electronics department of DKTES Textile and Engineering. Bestandsnummer des Verkäufers 385873374
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Design and Analysis of LDPC Codes Performance
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LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139833620
ISBN 13: 9786139833627
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Low-density parity-check (LDPC) code, a very promising near-optimal error correction code (ECC), is being widely considered in next generation industry standards. In this report, an introduction of LDPC codes with their construction (encoding) and decoding is explained. What idea motivated this project is explained in the chapter 2, which is based on literature survey done on the LDPC codes. The Progressive Edge Growth (PEG) algorithm is most widely used for the construction of LDPC codes. The construction schemes for LDPC codes are explained in Chapter 3. The soft decision decoding schemes are most widely used for the decoding of LDPC codes. These decoding algorithms are implemented using real additions only and also not dependent on power spectral density. The various decoding algorithms are explained in chapter 4. How these algorithms are useful for standards DVB-S2, T2 and WiMAX are explained. In VLSI implementation these algorithms using shift-LDPC codes these algorithms reduces hardware complexity. LDPC codes are considered to be one of the best classes of error correcting codes. In this report, several problems in this area are studied.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Bestandsnummer des Verkäufers 9786139833627
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Low-density parity-check (LDPC) code, a very promising near-optimal error correction code (ECC), is being widely considered in next generation industry standards. In this report, an introduction of LDPC codes with their construction (encoding) and decoding is explained. What idea motivated this project is explained in the chapter 2, which is based on literature survey done on the LDPC codes. The Progressive Edge Growth (PEG) algorithm is most widely used for the construction of LDPC codes. The construction schemes for LDPC codes are explained in Chapter 3. The soft decision decoding schemes are most widely used for the decoding of LDPC codes. These decoding algorithms are implemented using real additions only and also not dependent on power spectral density. The various decoding algorithms are explained in chapter 4. How these algorithms are useful for standards DVB-S2, T2 and WiMAX are explained. In VLSI implementation these algorithms using shift-LDPC codes these algorithms reduces hardware complexity. LDPC codes are considered to be one of the best classes of error correcting codes. In this report, several problems in this area are studied. Bestandsnummer des Verkäufers 9786139833627
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Taschenbuch. Zustand: Neu. Design and Analysis of LDPC Codes Performance | Vinayak Kumbhar (u. a.) | Taschenbuch | 72 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139833627 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 113915848
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