Implementation of LDPC algorithm

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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.

Autorentext

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783330026049
    • Genre Information Technology
    • Anzahl Seiten 56
    • Größe H220mm x B150mm x T3mm
    • Jahr 2016
    • EAN 9783330026049
    • Format Kartonierter Einband
    • ISBN 978-3-330-02604-9
    • Veröffentlichung 20.09.2017
    • Titel Implementation of LDPC algorithm
    • Autor Kristina Shalkoska
    • Untertitel In C programming language
    • Gewicht 102g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Sprache Englisch

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