2016
DOI: 10.1109/tvlsi.2015.2493041
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High-Performance NB-LDPC Decoder With Reduction of Message Exchange

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Cited by 17 publications
(13 citation statements)
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“…In order to compare our decoder with previous proposals implementing the same code, we synthesized the designs from [9][10][11][12] for the GF(64) code. We could not obtain post-layout results due to the high gate count of the designs.The results are summarized in Table V, where Table V, it can be seen that the highest reduction in the gate account is about 61% compared to the work from [9], and the lowest is 12% compared to the proposal from [11].…”
Section: A Decoder Implementation Results and Comparisonsmentioning
confidence: 99%
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“…In order to compare our decoder with previous proposals implementing the same code, we synthesized the designs from [9][10][11][12] for the GF(64) code. We could not obtain post-layout results due to the high gate count of the designs.The results are summarized in Table V, where Table V, it can be seen that the highest reduction in the gate account is about 61% compared to the work from [9], and the lowest is 12% compared to the proposal from [11].…”
Section: A Decoder Implementation Results and Comparisonsmentioning
confidence: 99%
“…The information exchanged between processors is reduced from q × d c reliabilities to 4 × (q − 1) + d c messages without introducing any performance loss. A step further was taken in [12], where the mT-MM algorithm was proposed. This algorithm reduces the cardinality of the intrinsic information to only two elements, and the rest q − 2 values are approximated by a constant value.…”
Section: Introductionmentioning
confidence: 99%
“…In terms of gate count, despite he fact that [34] requires 21% less gates, our work achieves a throughput which is almost seven times higher due to the parallel processing used in the CN. Compared to the proposal from [56], our approach has similar throughput and outperforms it almost 6% in area, thanks to the reduction of complexity in the CN with the hardware structures presented in Section. 7.4.…”
Section: Decoder Implementation Results and Comparisonsmentioning
confidence: 91%
“…In order to compare our decoder with previous proposals implementing the same code, we synthesized the designs from [42,50,53,56] for the GF(64) code. We could not obtain post-layout results due to the high gate count of the designs.The results are summarized in Table 7.5, where we also show the implementation results of our decoder for L = 4 and L = 5.…”
Section: Decoder Implementation Results and Comparisonsmentioning
confidence: 99%
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