An iterative thresholding-based algorithm for brain–computer interface (BCI) application

An iterative thresholding-based algorithm for brain–computer interface (BCI) application

The EEG signals are recorded using surgical (invasive) or non-surgical (non-invasive) BCI neuroimaging modalities. Basically, we are dealing with a huge amount of data and long signal recordings.The classic solution to deal with the huge amount of data has been data compression, where the data is fi...

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Bibliographic Details
Main Authors: Djerassembe Laouhingamaye Frédéric, Awatif Rouijel, Lahsen-Cherif Iyad, Hassan Elghazi
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Scientific African
Subjects:
Compressive sensing
l1 norm
Nuclear norm minimization
Reconstructing algorithms
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227623002880

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http://www.sciencedirect.com/science/article/pii/S2468227623002880

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