DWT-BSS: Blind Source Separation applied to EEG signals by extracting wavelet transform’s...

Advancements in Blind Source Separation for EEG Artifact Removal: A comparative analysis of Variational Mode Decomposition and Discrete Wavelet Transform …

H Massar, TB Drissi, B Nsiri, M Miyara - Applied Acoustics, 2025 - Elsevier
Electroencephalography (EEG) is a vital tool for elucidating cerebral processes; however, it
is inherently vulnerable to physiological interference, including cardiac rhythm, ocular …
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Improvements of EEG Signal Quality: A Hybrid Method of Blind Source Separation and Variational Mode Destruction to Reduce Artifacts.

H Massar, TB Drissi, B Nsiri… - International Journal of …, 2024 - search.ebscohost.com
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 …
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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 …
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