activity
20092023
most citedCapacity-achieving Guessing Random Additive Noise Decoding (GRAND)

229 citations · 876 across the 52 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.IT2020★ 29 cited

Keep the bursts and ditch the interleavers

Wei An, Muriel Médard, Ken R. Duffy

To facilitate applications in IoT, 5G, and beyond, there is an engineering need to enable high-rate, low-latency communications. Errors in physical channels typically arrive in clu…

cs.IT2020

Noise Recycling

Alejandro Cohen, Amit Solomon, Ken R. Duffy +1

We introduce Noise Recycling, a method that enhances decoding performance of channels subject to correlated noise without joint decoding. The method can be used with any combinatio…

math.ST2020

Discrete convolution statistic for hypothesis testing

Giulio Prevedello, Ken R. Duffy

The question of testing for equality in distribution between two linear models, each consisting of sums of distinct discrete independent random variables with unequal numbers of ob…

cs.IT2020

Noise Recycling

Alejandro Cohen, Amit Solomon, Ken R. Duffy +1

We introduce Noise Recycling, a method that substantially enhances decoding performance of orthogonal channels subject to correlated noise without the need for joint encoding or de…

cs.IT2020

Soft Maximum Likelihood Decoding using GRAND

Amit Solomon, Ken R. Duffy, Muriel Médard

Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implem…

cs.IT2020★ 78 cited

Ordered Reliability Bits Guessing Random Additive Noise Decoding

Ken R. Duffy

Modern applications are driving demand for ultra-reliable low-latency communications, rekindling interest in the performance of short, high-rate error correcting codes. To that end…