Guessing Random Additive Noise Decoding (GRAND) is a universal decoding algorithm
that can be used to perform maximum likelihood decoding. It attempts to find the errors …

Guessing Random Additive Noise Decoding (GRAND) is a family of hard-and soft-detection
error correction decoding algorithms that provide accurate decoding of any moderate …

Guessing Random Additive Noise Decoding (GRAND) is a family of universal decoding
algorithms suitable for decoding any moderate redundancy code of any length. We establish …

To meet the Ultra Reliable Low Latency Communication (URLLC) needs of modern
applications, there have been significant advances in the development of short error …

We establish that a large and flexible class of long, high redundancy error correcting codes
can be efficiently and accurately decoded with guessing random additive noise decoding …

In this letter, we propose two novel low-complexity iterative guessing random additive noise
decoding (IGRAND) schemes for product codes with enhanced anchor decoding (EAD) …

Parallel Concatenated Block (PCB) codes are conventionally represented as high-rate
codes with low error correcting capability. To form a reliable and outstanding code, this …

We consider a transmitter that encodes data packets using network coding and broadcasts
coded packets. A receiver employing network decoding recovers the data packets if a …

There is no perfect communication channel, and any communication necessarily involves
some level of noise. Attempting to hold a conversation across a crowded room, for instance …

Abstract Forward Error Correction Codes (FEC) in Coding Theory, Information Theory and
Telecommunication is used to control the errors in information that was transmitted over a …