2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
LDPC Decoding with Degree-Specific Neural Message Weights and RCQ Decoding
Linfang Wang, Caleb Terrill, Richard Wesel +1
Recently, neural networks have improved MinSum message-passing decoders for low-density parity-check (LDPC) codes by multiplying or adding weights to the messages, where the weight…
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…
A Reconstruction-Computation-Quantization (RCQ) Approach to Node Operations in LDPC Decoding
Linfang Wang, Maximilian Stark, Richard D. Wesel +1
In this paper, we propose a finite-precision decoding method that features the three steps of Reconstruction, Computation, and Quantization (RCQ). Unlike Mutual-Information-Maximiz…
Information Bottleneck Decoding of Rate-Compatible 5G-LDPC Codes
Maximilian Stark, Linfang Wang, Richard D. Wesel +1
The new 5G communications standard increases data rates and supports low-latency communication that places constraints on the computational complexity of channel decoders. 5G low-d…