collaborators

5 papers

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.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

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

Low-Density Parity-Check Codes and Spatial Coupling for Quantitative Group Testing

Mgeni Makambi Mashauri, Alexandre Graell i Amat, Michael Lentmaier

A non-adaptive quantitative group testing (GT) scheme based on sparse codes-on-graphs in combination with low-complexity peeling decoding was introduced and analyzed by Karimi et a…

cs.IT2024

On the Universality of Spatially Coupled LDPC Codes Over Intersymbol Interference Channels

Mgeni Makambi Mashauri, Alexandre Graell i Amat, Michael Lentmaier

In this paper, we derive the exact input/output transfer functions of the optimal a-posteriori probability channel detector for a general ISI channel with erasures. Considering thr…