Patent
Parity check matrix
Nihat Engin Tunali,Raghavendar M. Rao,Raied N. Mazahreh,Krishna R. Narayanan +3 more
- 29 Jan 2013
10
TL;DR: In this article, the parity check matrix comprises each element of an H matrix expanded by a Progressive Edge Growth (PEG) expansion factor and an Approximate Cycle Extrinsic Message Degree (ACE).
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Abstract: An apparatus is disclosed. In this apparatus, at least one coder block has a parity check matrix. The parity check matrix comprises each element of an H matrix expanded by a Progressive Edge Growth (“PEG”) expansion factor and an Approximate Cycle Extrinsic Message Degree (“ACE”) expansion factor.
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Citations
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References
Design of capacity-approaching irregular low-density parity-check codes
TL;DR: This work designs low-density parity-check codes that perform at rates extremely close to the Shannon capacity and proves a stability condition which implies an upper bound on the fraction of errors that a belief-propagation decoder can correct when applied to a code induced from a bipartite graph with a given degree distribution.
Regular and irregular progressive edge-growth tanner graphs
TL;DR: Simulation results show that the PEG algorithm is a powerful algorithm to generate good short-block-length LDPC codes.
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Selective avoidance of cycles in irregular LDPC code construction
TL;DR: A Viterbi-like algorithm is proposed that selectively avoids small cycle clusters that are isolated from the rest of the graph and yields codes with error floors that are orders of magnitude below those of random codes with very small degradation in capacity-approaching capability.
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Patent
Method and apparatus for encoding and decoding data
Ajit Nimbalker,Yufei W. Blankenship,Brian K. Classon +2 more
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TL;DR: In this article, a structured parity-check matrix H is proposed, wherein H is an expansion of a base matrix Hb and wherein Hb comprises a section Hb1 and a section hb2, and Hb2 comprises a first part comprising a column hb having an odd weight greater than 2, and a second part comprising matrix elements for row i, column j equal to 1 for i=j, 1 for j+1, and 0 elsewhere.
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Accumulate-Repeat-Accumulate Codes
TL;DR: It is shown that the ML SNR threshold of ARA codes also approaches very closely to that of random codes, and these codes have better interleaving gain than turbo codes.
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