Talks and Poster Presentations (with Proceedings-Entry):
Hua Zhou, N. Görtz:
"Cycle Analysis of Time-variant LDPC Convolutional Codes";
Poster: Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on,
Brest, France;
09-06-2010
- 09-10-2010; in: "Proc. Turbo Codes and Iterative Information Processing (ISTC), 2010",
(2010),
48
- 52.
English abstract:
Time-variant Low-Density Parity-Check convolutional codes (LDPCccs)
can be derived from unwrapping Quasi-Cyclic (QC) LDPC block
codes. Rather than analyzing cycles in a large-scale time-domain
parity check matrix, we propose a new way to describe cycle properties
in compact form by a polynomial syndrome former, i.e., a syndrome
former in an equivalent polynomial representation. According to the
relationship of cycle structures between time- and polynomial-domain
syndrome formers, we present a cycle counter algorithm to analyze
cycle properties in time-variant LDPCccs as well as in
time-invariant LDPCccs.
Keywords:
Low-Density Parity-Check convolutional codes
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ISTC.2010.5613871
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_189162.pdf
Created from the Publication Database of the Vienna University of Technology.