49 citations · 317 across the 61 of their papers we have counts for
5 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…
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…
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…