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LDPC decoding using selective max-min (SMM) algorithm : Theory and implementation / Ahmed Hassan Mahmoud Elsayed Hareedy ; Supervised Mohamed Mohamed Khairy , Amr Galal Eldin Wassal

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Hassan Mahmoud Elsayed Hareedy , 2011Description: 89 P. : plans ; 30cmOther title:
  • حل شفرة الكود منخفض الكثافة المتحقق من التكافؤ باستخدام خوارزمية الانتقاء من أكبر القيم الصغري : النظرية و التنفيذ [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Summary: With the growing importance of error correction in different communication systems, using an efficient and easily implementable code is always appreciated. Two main iterative decoding algorithms are usually used for the important class of codes known as low density parity check (LDPC) codes; namely the sum-product (SP) algorithm and the min-sum MS
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2011.Ah.L (Browse shelf(Opens below)) Not for loan 01010110057019000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2011.Ah.L (Browse shelf(Opens below)) 57019.CD Not for loan 01020110057019000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication

With the growing importance of error correction in different communication systems, using an efficient and easily implementable code is always appreciated. Two main iterative decoding algorithms are usually used for the important class of codes known as low density parity check (LDPC) codes; namely the sum-product (SP) algorithm and the min-sum MS

Issued also as CD

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