Approaching capacity at high rates with iterative hard-decision decoding
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Jian, YY; Pfister, HD; Narayanan, KR
Published in: IEEE International Symposium on Information Theory - Proceedings
October 22, 2012
A variety of low-density parity-check (LDPC) ensembles have now been observed to approach capacity with message-passing decoding. However, all of them use soft (i.e., non-binary) messages and a posteriori probability (APP) decoding of their component codes. In this paper, we analyze a class of spatially-coupled generalized LDPC codes and observe that, in the high-rate regime, they can approach capacity under iterative hard-decision decoding. These codes can be seen as generalized product codes and are closely related to braided block codes. © 2012 IEEE.
Duke Scholars
Published In
IEEE International Symposium on Information Theory - Proceedings
DOI
ISBN
9781467325790
Publication Date
October 22, 2012
Start / End Page
2696 / 2700
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Jian, Y. Y., Pfister, H. D., & Narayanan, K. R. (2012). Approaching capacity at high rates with iterative hard-decision decoding. In IEEE International Symposium on Information Theory - Proceedings (pp. 2696–2700). https://doi.org/10.1109/ISIT.2012.6284009
Jian, Y. Y., H. D. Pfister, and K. R. Narayanan. “Approaching capacity at high rates with iterative hard-decision decoding.” In IEEE International Symposium on Information Theory - Proceedings, 2696–2700, 2012. https://doi.org/10.1109/ISIT.2012.6284009.
Jian YY, Pfister HD, Narayanan KR. Approaching capacity at high rates with iterative hard-decision decoding. In: IEEE International Symposium on Information Theory - Proceedings. 2012. p. 2696–700.
Jian, Y. Y., et al. “Approaching capacity at high rates with iterative hard-decision decoding.” IEEE International Symposium on Information Theory - Proceedings, 2012, pp. 2696–700. Scopus, doi:10.1109/ISIT.2012.6284009.
Jian YY, Pfister HD, Narayanan KR. Approaching capacity at high rates with iterative hard-decision decoding. IEEE International Symposium on Information Theory - Proceedings. 2012. p. 2696–2700.
Published In
IEEE International Symposium on Information Theory - Proceedings
DOI
ISBN
9781467325790
Publication Date
October 22, 2012
Start / End Page
2696 / 2700