Averaged SSVEP recognition accuracies derived by the CCA, PCCA
Por um escritor misterioso
Last updated 04 abril 2025


Multi-information improves the performance of CCA-based SSVEP classification

Frontiers Control of a Robotic Arm With an Optimized Common Template-Based CCA Method for SSVEP-Based BCI

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review. - Abstract - Europe PMC

Linear Diophantine equation (LDE) decoder: A training‐free decoding algorithm for multifrequency SSVEP with reduced computation cost - Mu - 2023 - Asian Journal of Control - Wiley Online Library

Frontiers Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions

Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA

Multi-information improves the performance of CCA-based SSVEP classification

Brainwave-Augmented Eye Tracker: High-Frequency SSVEPs Improves Camera-Based Eye Tracking Accuracy
A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials

Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA

SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features

Bioengineering, Free Full-Text

International Journal of Neural Systems
A Synchronized Hybrid Brain-Computer Interface System for Simultaneous Detection and Classification of Fusion EEG Signals. - Document - Gale Academic OneFile

Superresolution Image Reconstruction
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