This paper proposes a novel compressed sensing (CS) framework for reconstructing electroencephalogram (EEG) signals. A feature of this framework is the ...
Dec 1, 2020 · This paper proposes a novel compressed sensing (CS) framework for reconstructing electroencephalogram (EEG) signals. A feature of this framework ...
This paper proposes a novel compressed sensing (CS) framework for reconstructing electroencephalogram (EEG) signals. A feature of this framework is the ...
SUMMARY. This paper proposes a novel compressed sensing (CS) framework for reconstructing electroencephalogram (EEG) signals. A fea- ture of this framework ...
We previously proposed a framework that applies independent component analysis (ICA) after random undersampling to compress EEG signals with artifacts.
Compressed Sensing Framework Applying Independent Component Analysis after Undersampling for Reconstructing Electroencephalogram Signals. Article. Jun 2020.
This paper proposes a novel compressed sensing (CS) framework for reconstructing electroencephalogram (EEG) signals. A feature of this framework is the ...
We evaluated the effectiveness of a low-current-consumption amplifier for a compressed-sensing (CS) framework in wearable electroencephalography (EEG) recording ...
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In this paper, we look at the independent component analysis (ICA) model through the compressive learning lens.
Missing: Undersampling | Show results with:Undersampling