Low-Density Parity-Check (LDPC) codes have gained lots of popularity due to their capacity achieving/approaching property. This work studies the iterative decoding also known as message-passing algorithms applied to LDPC codes. Belief propagation (BP) algorithm and its approximations, most notably min-sum (MS), are popular iterative decoding algorithms used for LDPC and turbo codes. The thesis is divided in two parts. In the rst part, a low-complexity binary message-passing algorithm derived the dynamic of analog decoders is presented and thoroughly studied. In the second part, a modication for improving the performance of BP and MS algorithms is proposed. It uses adaptive normalization of variable node message

New Iterative Decoding Algorithms for Low-Density Parity-Check.pdf

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