2002Unpublished venueRequires access

Mathematical analysis of iterative decoding of LDPC convolutional codes

Dmitri Truhachev, Michael Lentmaier, Kamil Sh. Zigangirov

Open publisher page 5 citations

Abstract

Asymptotic iterative decoding performance of low-density parity-check (LDPC) convolutional codes is analyzed. An important role within the analysis is a theorem on the minimal length of cycles in the Tanner graph describing a code.

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What this paper is about

Asymptotic iterative decoding performance of low-density parity-check (LDPC) convolutional codes is analyzed. An important role within the analysis is a theorem on the minimal length of cycles in the Tanner graph describing a code.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Asymptotic iterative decoding performance of low-density parity-check (LDPC) convolutional codes is analyzed. An important role within the analysis is a theorem on the minimal length of cycles in the Tanner graph describing a code.

Key concepts: Low-density parity-check code, Tanner graph, Serial concatenated convolutional codes, Convolutional code, Decoding methods, Concatenated error correction code, Sequential decoding, Computer science

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