Sampled continuous PSWF multitapers yield a direct band-energy estimator with explicit four-term non-asymptotic error bounds that outperform integrated-periodogram baselines on synthetic data.
Event -related EEG/MEG synchronization and desynchronization: basic principles
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
A preprocessing pipeline for resting-state and motor-task EEG is described to support future machine learning models that predict treatment efficacy in chronic neck pain.
citing papers explorer
-
Direct Band-Energy Estimation from Finite Samples via Continuous Slepian Multitapers
Sampled continuous PSWF multitapers yield a direct band-energy estimator with explicit four-term non-asymptotic error bounds that outperform integrated-periodogram baselines on synthetic data.
-
A Machine Learning Framework for EEG-Based Prediction of Treatment Efficacy in Chronic Neck Pain
A preprocessing pipeline for resting-state and motor-task EEG is described to support future machine learning models that predict treatment efficacy in chronic neck pain.
- Beyond Flickering: Introducing Code-Modulated Motion Visual Evoked Potentials for Brain-Computer Interfacing