35 citations · 90 across the 4 of their papers we have counts for
11 papers
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,…
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…
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…
Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes
Seyyed Ali Hashemi, Nghia Doan, Thibaud Tonnellier +1
A deep-learning-aided successive-cancellation list (DL-SCL) decoding algorithm for polar codes is introduced with deep-learning-aided successive-cancellation (DL-SC) decoding being…