Time-frequency super-resolution with superlets

Vasile V. Moca; Harald Bârzan; Adriana Nagy-Dăbâcan; Raul C. Mureșan

doi:10.1038/s41467-020-20539-9

Nature Communications (Jan 2021)

Time-frequency super-resolution with superlets

Vasile V. Moca,
Harald Bârzan,
Adriana Nagy-Dăbâcan,
Raul C. Mureșan

Affiliations

Vasile V. Moca: Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience
Harald Bârzan: Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience
Adriana Nagy-Dăbâcan: Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience
Raul C. Mureșan: Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience

DOI: https://doi.org/10.1038/s41467-020-20539-9
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 18

Abstract

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Identifying the frequency, temporal location, duration, and amplitude of finite oscillation packets in neurophysiological signals with high precision is challenging. The authors present a method based on multiple wavelets to improve the detection of localized time-frequency packets.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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