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20132026
most citedDeep Learning-Based Decoding of Constrained Sequence Codes

2 citations · 4 across the 6 of their papers we have counts for

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Showing cs.ITShow all

5 papers · 1 filter

cs.IT2020★ 1 cited

Design and Analysis of Online Fountain Codes for Intermediate Performance

Jingxuan Huang, Zesong Fei, Congzhe Cao +1

For the benefit of improved intermediate performance, recently online fountain codes attract much research attention. However, there is a trade-off between the intermediate perform…

cs.IT2019★ 2 cited

Deep Learning-Based Decoding of Constrained Sequence Codes

Congzhe Cao, Duanshun Li, Ivan Fair

Constrained sequence (CS) codes, including fixed-length CS codes and variable-length CS codes, have been widely used in modern wireless communication and data storage systems. Sequ…

cs.IT2018

Deep Learning-Based Decoding for Constrained Sequence Codes

Congzhe Cao, Duanshun Li, Ivan Fair

Constrained sequence codes have been widely used in modern communication and data storage systems. Sequences encoded with constrained sequence codes satisfy constraints imposed by…

cs.IT2013

Improved LT Codes in Low Overhead Regions for Binary Erasure Channels

Zesong Fei, Congzhe Cao, Ming Xiao +2

We study improved degree distribution for Luby Transform (LT) codes which exhibits improved bit error rate performance particularly in low overhead regions. We construct the degree…

cs.IT2013★ 1 cited

Low Complexity List Successive Cancellation Decoding of Polar Codes

Congzhe Cao, Zesong Fei, Jinhong Yuan +1

We propose a low complexity list successive cancellation (LCLSC) decoding algorithm to reduce complexity of traditional list successive cancellation (LSC) decoding of polar codes w…