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A high-performance training-free pipeline for robust random telegraph signal characterization via adaptive wavelet-based denoising and Bayesian digitization methods

Crossref DOI link: https://doi.org/10.1038/s41598-026-36656-2

Published Online: 2026-02-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bai, Tonghe

Kapoor, Ayush

Kim, Na Young
Funding

Funding for this research was provided by:

Industry Canada, the Ontario Ministry of Research & Innovation (Early Researcher Awards (RE09-068))

Canada First Research Excellence Fund (Transformative Quantum Technologies (CFREF-TQT))
License Information

Text and Data Mining valid from 2026-02-05

Version of Record valid from 2026-02-23
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Article History

Received: 3 October 2025

Accepted: 14 January 2026

First Online: 5 February 2026

Declarations

:

: The authors declare no competing interests.

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