571 citations · 2.8k across the 60 of their papers we have counts for
13 papers · 1 filter
Multi-Mode Inference Engine for Convolutional Neural Networks
Arash Ardakani, Carlo Condo, Warren J. Gross
During the past few years, interest in convolutional neural networks (CNNs) has risen constantly, thanks to their excellent performance on a wide range of recognition and classific…
Improved Successive Cancellation Flip Decoding of Polar Codes Based on Error Distribution
Carlo Condo, Furkan Ercan, Warren J. Gross
Polar codes are a class of linear block codes that provably achieves channel capacity, and have been selected as a coding scheme for generation wireless communication…
Partitioned Successive-Cancellation Flip Decoding of Polar Codes
Furkan Ercan, Carlo Condo, Seyyed Ali Hashemi +1
Polar codes are a class of channel capacity achieving codes that has been selected for the next generation of wireless communication standards. Successive-cancellation (SC) is the…
PolarBear: A 28-nm FD-SOI ASIC for Decoding of Polar Codes
Pascal Giard, Alexios Balatsoukas-Stimming, Thomas Christoph Müller +5
Polar codes are a recently proposed class of block codes that provably achieve the capacity of various communication channels. They received a lot of attention as they can do so wi…
On Error-Correction Performance and Implementation of Polar Code List Decoders for 5G
Furkan Ercan, Carlo Condo, Seyyed Ali Hashemi +1
Polar codes are a class of capacity achieving error correcting codes that has been recently selected for the next generation of wireless communication standards (5G). Polar code de…
Deep Learning Methods for Improved Decoding of Linear Codes
Eliya Nachmani, Elad Marciano, Loren Lugosch +3
The problem of low complexity, close to optimal, channel decoding of linear codes with short to moderate block length is considered. It is shown that deep learning methods can be u…