From the 1 of 7 linked papers with an AI index.
7 papers
Generalized Segmented GRAND for Guesswork Reduction in Turbo Product Decoding
Lukas Rapp, Jiewei Feng, Muriel Médard +1
The paper proposes GSegGRAND, a generalized version of Segmented GRAND decoding that works with a broader class of codes, incorporates more parity‑check constraints, and provides s…
SOGRAND decoding of LDPC codes
Ken R. Duffy, Jiewei Feng, Lukas Rapp +1
Long forward error correction codes are typically constructed by concatenating shorter component codes that are then decoded through iterative Soft-Input Soft-Output (SISO) of thei…
Fluid limit of a distributed ledger model with random delay
Jiewei Feng, Christopher King
Distributed ledgers, including blockchain and other decentralized databases, are designed to store information online where all trusted network members can update the data with tra…
Improving the decoding performance of CA-polar codes
Jiewei Feng, Peihong Yuan, Ken R. Duffy +1
We investigate the use of modern code-agnostic decoders to convert CA-SCL from an incomplete decoder to a complete one. When CA-SCL fails to identify a codeword that passes the CRC…
Enhanced GCD through ORBGRAND-AI: Exploiting Partial and Total Correlation in Noise
Jiewei Feng, Ken R. Duffy, Muriel Médard +1
There have been significant advances in recent years in the development of forward error correction decoders that can decode codes of any structure, including practical realization…
A Balanced Tree Transformation to Reduce GRAND Queries
Lukas Rapp, Jiewei Feng, Muriel Médard +1
Guessing Random Additive Noise Decoding (GRAND) and its variants, known for their near-maximum likelihood performance, have been introduced in recent years. One such variant, Segme…