Mathematical analysis of iterative decoding of LDPC convolutional codes
Dmitri Truhachev, Michael Lentmaier, Kamil Sh. Zigangirov
Abstract
Dmitri Truhachev, Michael Lentmaier, Kamil Sh. Zigangirov
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.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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