Advancements in Blind Source Separation for EEG Artifact Removal: A comparative analysis of Variational Mode Decomposition and Discrete Wavelet Transform …
Electroencephalography (EEG) is a vital tool for elucidating cerebral processes; however, it
is inherently vulnerable to physiological interference, including cardiac rhythm, ocular …
is inherently vulnerable to physiological interference, including cardiac rhythm, ocular …
Improvements of EEG Signal Quality: A Hybrid Method of Blind Source Separation and Variational Mode Destruction to Reduce Artifacts.
The electroencephalogram (EEG) is a crucial tool for studying brain activity; yet it frequently
encounters artifacts that distort meaningful neural signals. This paper addresses the …
encounters artifacts that distort meaningful neural signals. This paper addresses the …
Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition
G Nedzhibov - Computation, 2025 - mdpi.com
Blind Source Separation (BSS) is a significant field of study in signal processing, with many
applications in various fields such as audio processing, speech recognition, biomedical …
applications in various fields such as audio processing, speech recognition, biomedical …