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20062026
most citedNear-Field Passive RFID Communication: Channel Model and Code Design

41 citations · 197 across the 63 of their papers we have counts for

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cs.IT2026

SynDe: Syndrome-guided Decoding of Raw Nanopore Reads

Anisha Banerjee, Roman Sokolovskii, Thomas Heinis +3

Nanopore sequencing technology remains highly error-prone, making efficient error correction essential in DNA-based data storage. Prior work addressed high error rates using convol…

cs.IT2025

On Finite-Blocklength Noisy Classical-Quantum Channel Coding With Amplitude Damping Errors

Tamás Havas, Hsuan-Yin Lin, Eirik Rosnes +1

We investigate practical finite-blocklength classical-quantum channel coding over the quantum amplitude damping channel (ADC), aiming to transmit classical information reliably thr…

cs.IT2024

Sequential Decoding of Multiple Traces Over the Syndrome Trellis for Synchronization Errors

Anisha Banerjee, Lorenz Welter, Alexandre Graell i Amat +2

Standard decoding approaches for convolutional codes, such as the Viterbi and BCJR algorithms, entail significant complexity when correcting synchronization errors. The situation w…

cs.IT2024★ 1 cited

An End-to-End Coding Scheme for DNA-Based Data Storage With Nanopore-Sequenced Reads

Lorenz Welter, Roman Sokolovskii, Thomas Heinis +3

We consider error-correcting coding for deoxyribonucleic acid (DNA)-based storage using nanopore sequencing. We model the DNA storage channel as a sampling noise channel where the…

cs.IT2024

Generalizing Quantum Tanner Codes

Olai Å. Mostad, Eirik Rosnes, Hsuan-Yin Lin

In this work, we present a generalization of the recently proposed quantum Tanner codes by Leverrier and Zémor, which contains a construction of asymptotically good quantum LDPC co…

cs.IT2024

Improved Capacity Outer Bound for Private Quadratic Monomial Computation

Karen M. Dæhli, Sarah A Obead, Hsuan-Yin Lin +1

In private computation, a user wishes to retrieve a function evaluation of messages stored on a set of databases without revealing the function's identity to the databases. Obead \…