Sinossi
Block ciphers are the central tools for cooking up the largest portion of data encrypted in today’s world. It is crucial that they must be efficiently implemented in both hardware or/and software platforms. Furthermore, error-correcting codes are used to “protect” the transmitted digital data over unreliable communication channel. People prefer to rely on well-known block codes, for example Hamming codes, Reed-Solomon codes etc., while LDPC (Low Density Parity Check) codes were ignored for 30 years from the moment Robert Gallager introduced them in his doctoral dissertation, 1960. Nowadays, LDPC codes are the opposite. They are the most attractive topics in coding theory. LDPC codes are usually long with a great probability to reduce the loss of information in a noisy communication channel. There are introduced very fast encoding and decoding algorithms which are implemented in Matlab. My work is to focus to implement this algorithms in C. The advantage of this approach is that you can quickly and easily analyze LDPC codes thanks to the speed and power of C.
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Informazioni sull?autore
Kristina Shalkoska, B.Sc in Information Science and Technology in the field of Communication Networks and Security.Working as Software Development Engineer after graduation from the University of Information Science and Technology "St.Paul The Apostle". "Implementation of LDCP algorithm in C programming language" is her first publication.
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Implementation of LDPC algorithm: In C programming language
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330026049
ISBN 13: 9783330026049
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Implementation of LDPC algorithm: In C programming language
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Implementation of LDPC algorithm: In C programming language
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Implementation of LDPC algorithm
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Taschenbuch. Condizione: Neu. Neuware -Block ciphers are the central tools for cooking up the largest portion of data encrypted in today's world. It is crucial that they must be efficiently implemented in both hardware or/and software platforms. Furthermore, error-correcting codes are used to 'protect' the transmitted digital data over unreliable communication channel. People prefer to rely on well-known block codes, for example Hamming codes, Reed-Solomon codes etc., while LDPC (Low Density Parity Check) codes were ignored for 30 years from the moment Robert Gallager introduced them in his doctoral dissertation, 1960. Nowadays, LDPC codes are the opposite. They are the most attractive topics in coding theory. LDPC codes are usually long with a great probability to reduce the loss of information in a noisy communication channel. There are introduced very fast encoding and decoding algorithms which are implemented in Matlab. My work is to focus to implement this algorithms in C. The advantage of this approach is that you can quickly and easily analyze LDPC codes thanks to the speed and power of C. 56 pp. Englisch. Codice articolo 9783330026049
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Implementation of LDPC algorithm: In C programming language
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shalkoska KristinaKristina Shalkoska, B.Sc in Information Science and Technology in the field of Communication Networks and Security.Working as Software Development Engineer after graduation from the University of Information Science. Codice articolo 158122884
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Implementation of LDPC algorithm
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Block ciphers are the central tools for cooking up the largest portion of data encrypted in today¿s world. It is crucial that they must be efficiently implemented in both hardware or/and software platforms. Furthermore, error-correcting codes are used to ¿protect¿ the transmitted digital data over unreliable communication channel. People prefer to rely on well-known block codes, for example Hamming codes, Reed-Solomon codes etc., while LDPC (Low Density Parity Check) codes were ignored for 30 years from the moment Robert Gallager introduced them in his doctoral dissertation, 1960. Nowadays, LDPC codes are the opposite. They are the most attractive topics in coding theory. LDPC codes are usually long with a great probability to reduce the loss of information in a noisy communication channel. There are introduced very fast encoding and decoding algorithms which are implemented in Matlab. My work is to focus to implement this algorithms in C. The advantage of this approach is that you can quickly and easily analyze LDPC codes thanks to the speed and power of C.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Codice articolo 9783330026049
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Implementation of LDPC algorithm : In C programming language
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330026049
ISBN 13: 9783330026049
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Block ciphers are the central tools for cooking up the largest portion of data encrypted in today's world. It is crucial that they must be efficiently implemented in both hardware or/and software platforms. Furthermore, error-correcting codes are used to 'protect' the transmitted digital data over unreliable communication channel. People prefer to rely on well-known block codes, for example Hamming codes, Reed-Solomon codes etc., while LDPC (Low Density Parity Check) codes were ignored for 30 years from the moment Robert Gallager introduced them in his doctoral dissertation, 1960. Nowadays, LDPC codes are the opposite. They are the most attractive topics in coding theory. LDPC codes are usually long with a great probability to reduce the loss of information in a noisy communication channel. There are introduced very fast encoding and decoding algorithms which are implemented in Matlab. My work is to focus to implement this algorithms in C. The advantage of this approach is that you can quickly and easily analyze LDPC codes thanks to the speed and power of C. Codice articolo 9783330026049
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Taschenbuch. Condizione: Neu. Implementation of LDPC algorithm | In C programming language | Kristina Shalkoska | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330026049 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 108227884
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