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20102026
most citedDeep Learning Methods for Improved Decoding of Linear Codes

571 citations · 2.8k across the 60 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.IT2020

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…

cs.IT2020★ 35 cited

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,…

cs.IT2020

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…

cs.AR2020

Fast Thresholded SC-Flip Decoding of Polar Codes

Furkan Ercan, Warren J. Gross

SC-Flip (SCF) decoding algorithm shares the attention with the common polar code decoding approaches due to its low-complexity and improved error-correction performance. However, t…

cs.IT2020

High-Throughput VLSI Architecture for GRAND

Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +1

Guessing Random Additive Noise Decoding (GRAND) is a recently proposed universal decoding algorithm for linear error correcting codes. Since GRAND does not depend on the structure…

cs.AR2020★ 16 cited

Operation Merging for Hardware Implementations of Fast Polar Decoders

Furkan Ercan, Thibaud Tonnellier, Carlo Condo +1

Polar codes are a class of linear block codes that provably achieves channel capacity. They have been selected as a coding scheme for the control channel of enhanced mobile broadba…