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

2 citations · 3 across the 11 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.IT2021

Achieving Short-Blocklength RCU bound via CRC List Decoding of TCM with Probabilistic Shaping

Linfang Wang, Dan Song, Felipe Areces +1

This paper applies probabilistic amplitude shaping (PAS) to a cyclic redundancy check (CRC) aided trellis coded modulation (TCM) to achieve the short-blocklength random coding unio…

cs.IT2021

Neural Normalized Min-Sum Message-Passing vs. Viterbi Decoding for the CCSDS Line Product Code

Jonathan Nguyen, Linfang Wang, Chester Hulse +5

The Consultative Committee for Space Data Systems (CCSDS) 141.11-O-1 Line Product Code (LPC) provides a rare opportunity to compare maximum-likelihood decoding and message passing.…

eess.SP2021

Reconstruction-Computation-Quantization (RCQ): A Paradigm for Low Bit Width LDPC Decoding

Linfang Wang, Caleb Terrill, Maximilian Stark +7

This paper uses the reconstruction-computation-quantization (RCQ) paradigm to decode low-density parity-check (LDPC) codes. RCQ facilitates dynamic non-uniform quantization to achi…

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…

eess.SP2021

FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing

Caleb Terrill, Linfang Wang, Sean Chen +4

Non-uniform message quantization techniques such as reconstruction-computation-quantization (RCQ) improve error-correction performance and decrease hardware complexity of low-densi…