73 citations · 248 across the 13 of their papers we have counts for
24 papers · 1 filter
High-Throughput VLSI Architecture for GRAND Markov Order
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed Maximum Likelihood (ML) decoding technique. Irrespective of the structure of the error correcting code, GRAND…
A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes
Seyyed Ali Hashemi, Nghia Doan, Warren J. Gross +2
A low-complexity tree search approach is presented that achieves the maximum-likelihood (ML) decoding performance of Reed-Muller (RM) codes. The proposed approach generates a bit-f…
High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +2
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed approximate Maximum Likelihood (ML) decoding technique that can decode any linear error-correcting block code…
On Systematic Polarization-Adjusted Convolutional (PAC) Codes
Thibaud Tonnellier, Warren J. Gross
Polarization-adjusted convolutional (PAC) codes were recently proposed and arouse the interest of the channel coding community because they were shown to approach theoretical bound…
Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation
Furkan Ercan, Thibaud Tonnellier, Nghia Doan +1
SC-Flip (SCF) is a low-complexity polar code decoding algorithm with improved performance, and is an alternative to high-complexity (CRC)-aided SC-List (CA-SCL) decoding. However,…
Decoding Polar Codes with Reinforcement Learning
Nghia Doan, Seyyed Ali Hashemi, Warren Gross
In this paper we address the problem of selecting factor-graph permutations of polar codes under belief propagation (BP) decoding to significantly improve the error-correction perf…