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