30 citations · 31 across the 2 of their papers we have counts for
4 papers
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…
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…
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…
Concatenated LDPC-Polar Codes Decoding Through Belief Propagation
Syed Mohsin Abbas, YouZhe Fan, Ji Chen +1
Owing to their capacity-achieving performance and low encoding and decoding complexity, polar codes have drawn much research interests recently. Successive cancellation decoding (S…