Computer Science – Information Theory
Scientific paper
2010-04-28
Computer Science
Information Theory
Submitted to IEEE Transactions on Information Theory, April 2010; revised August 2010, revised November 2010 (essentially fina
Scientific paper
Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper we discuss several graph-cover-based methods for deriving families of time-invariant and time-varying LDPC convolutional codes from LDPC block codes and show how earlier proposed LDPC convolutional code constructions can be presented within this framework. Some of the constructed convolutional codes significantly outperform the underlying LDPC block codes. We investigate some possible reasons for this "convolutional gain," and we also discuss the --- mostly moderate --- decoder cost increase that is incurred by going from LDPC block to LDPC convolutional codes.
Costello Daniel J. Jr.
Pusane Ali E.
Smarandache Roxana
Vontobel Pascal O.
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