research
∙
05/09/2023
Upgrade error detection to prediction with GRAND
Guessing Random Additive Noise Decoding (GRAND) is a family of hard- and...
share
research
∙
03/13/2023
Using channel correlation to improve decoding – ORBGRAND-AI
To meet the Ultra Reliable Low Latency Communication (URLLC) needs of mo...
research
∙
01/24/2023
GRAND-EDGE: A Universal, Jamming-resilient Algorithm with Error-and-Erasure Decoding
Random jammers that overpower transmitted signals are a practical concer...
research
∙
12/10/2022
Confident decoding with GRAND
We establish that during the execution of any Guessing Random Additive N...
research
∙
12/02/2022
Physical layer insecurity
In the classic wiretap model, Alice wishes to reliably communicate to Bo...
research
∙
10/08/2022
A General Security Approach for Soft-information Decoding against Smart Bursty Jammers
Malicious attacks such as jamming can cause significant disruption or co...
research
∙
07/25/2022
Soft decoding without soft demapping with ORBGRAND
For spectral efficiency, higher order modulation symbols confer informat...
research
∙
07/22/2022
Block turbo decoding with ORBGRAND
Guessing Random Additive Noise Decoding (GRAND) is a family of universal...
research
∙
07/22/2022
GRAND for Fading Channels using Pseudo-soft Information
Guessing random additive noise decoding (GRAND) is a universal maximum-l...
research
∙
07/22/2022
Soft-input, soft-output joint detection and GRAND
Guessing random additive noise decoding (GRAND) is a maximum likelihood ...
research
∙
03/25/2022
Quantized Guessing Random Additive Noise Decoding
We introduce a soft-detection variant of Guessing Random Additive Noise ...
research
∙
06/04/2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
Balancing the needs of data privacy and predictive utility is a central ...
research
∙
04/28/2021
CRC Codes as Error Correction Codes
CRC codes have long since been adopted in a vast range of applications. ...
research
∙
11/06/2020
Keep the bursts and ditch the interleavers
To facilitate applications in IoT, 5G, and beyond, there is an engineeri...
research
∙
08/31/2020
Discrete convolution statistic for hypothesis testing
The question of testing for equality in distribution between two linear ...
research
∙
06/08/2020
Noise Recycling
We introduce Noise Recycling, a method that substantially enhances decod...
research
∙
01/09/2020
Soft Maximum Likelihood Decoding using GRAND
Maximum Likelihood (ML) decoding of forward error correction codes is kn...
research
∙
01/02/2020
Ordered Reliability Bits Guessing Random Additive Noise Decoding
Guessing Random Additive Noise Decoding (GRAND) can, unusually, decode a...
research
∙
02/11/2019
Guessing random additive noise decoding with soft detection symbol reliability information (SGRAND)
Assuming hard detection from an additive noise channel, we recently intr...
research
∙
02/20/2018
