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20192023
most citedNeural-Network-Optimized Degree-Specific Weights for LDPC MinSum Decoding

2 citations · 3 across the 7 of their papers we have counts for

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cs.IT2023

ELF Codes: Concatenated Codes with an Expurgating Linear Function as the Outer Code

Richard Wesel, Amaael Antonini, Linfang Wang +3

An expurgating linear function (ELF) is a linear outer code that disallows the low-weight codewords of the inner code. ELFs can be designed either to maximize the minimum distance…

cs.IT2023

Probabilistic Shaping for Asymmetric Channels and Low-Density Parity-Check Codes

Thomas Wiegart, Linfang Wang, Diego Lentner +1

An algorithm is proposed to encode low-density parity-check (LDPC) codes into codewords with a non-uniform distribution. This enables power-efficient signalling for asymmetric chan…

cs.IT2021★ 2 cited

Neural-Network-Optimized Degree-Specific Weights for LDPC MinSum Decoding

Linfang Wang, Sean Chen, Jonathan Nguyen +2

Neural Normalized MinSum (N-NMS) decoding delivers better frame error rate (FER) performance on linear block codes than conventional normalized MinSum (NMS) by assigning dynamic mu…

cs.IT2020★ 1 cited

Finite-Support Capacity-Approaching Distributions for AWGN Channels

Derek Xiao, Linfang Wang, Richard D. Wesel

In this paper, the Dynamic-Assignment Blahut-Arimoto (DAB) algorithm identifies finite-support probability mass functions (PMFs) with small cardinality that achieve capacity for am…

cs.IT2020

An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes

Hengjie Yang, Linfang Wang, Vincent Lau +1

Cyclic redundancy check (CRC) codes combined with convolutional codes yield a powerful concatenated code that can be efficiently decoded using list decoding. To help design such sy…