ArticleNature communications2021
Time-frequency super-resolution with superlets.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
What it found
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Who cites it
57 citing papers in PubMed.
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- Functional heterogeneity of beta bursts in childhood reveals a dimensional neural signature of motor skill.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Localizing the epileptogenic zone in drug-resistant epilepsy based on ictal SEEG high-resolution time-frequency representation.Frontiers in neuroscience · 2026Article
- FrPhysical and engineering sciences in medicine · 2025Article
- SmartERD: a pipeline for referencing subjects to a common peak in the analysis of ERD dynamics.Scientific reports · 2025Article
- Article
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- Balancing Energy Consumption and Detection Accuracy in Cardiovascular Disease Diagnosis: A Spiking Neural Network-Based Approach with ECG and PCG Signals.Sensors (Basel, Switzerland) · 2025Article
- An automated extraction of spectral-temporal and spatial-temporal features of EEG for emotion detection.Brain informatics · 2025Article
- Exploring the feasibility of olfactory brain-computer interfaces.Scientific reports · 2025Article
- Automatic detection and annotation of eastern Caribbean sperm whale codas.Scientific reports · 2025Article
- Chloride deregulation and GABA depolarization in MTOR-related malformations of cortical development.Brain : a journal of neurology · 2025Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the Heisenberg-Gabor uncertainty principle, finite oscillation transients are difficult to localize simultaneously in both time and frequency. Classical estimators, like the short-time Fourier transform or the continuous-wavelet transform optimize either temporal or frequency resolution, or find a suboptimal tradeoff. Here, we introduce a spectral estimator enabling time-frequency super-resolution, called superlet, that uses sets of wavelets with increasingly constrained bandwidth. These are combined geometrically in order to maintain the good temporal resolution of single wavelets and gain frequency resolution in upper bands. The normalization of wavelets in the set facilitates exploration of data with scale-free, fractal nature, containing oscillation packets that are self-similar across frequencies. Superlets perform well on synthetic data and brain signals recorded in humans and rodents, resolving high frequency bursts with excellent precision. Importantly, they can reveal fast transient oscillation events in single trials that may be hidden in the averaged time-frequency spectrum by other methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.