Abstract: This study presents automatic decomposition of high density surface electromyogram (EMG) signals through a progressive FastICA peel-off (PFP) framework. By incorporating FastICA, constrained ...
The Cruel King and the Great Hero is a game with interesting ideas, a unique visual style and a lot of potential, but it ends up failing in key points that take it away from its best and force the ...
I want to thank you for the implementation of CUDAICA in Matlab running on Windows 10 - it works perfectly in EEGLAB using an HP workstation and NVIDIA Quadro K6000 graphic card. I’m wondering if you ...
Abstract: Blind source separation (BSS) is a problem that appears in many research fields. Fast Independent components analysis (FastICA) is one of the techniques to solve the problem. The researchers ...
The fast fixed-point algorithm for independent component analysis (FastICA) has been widely used in fetal electrocardiogram (ECG) extraction. However, the FastICA algorithm is sensitive to the initial ...
As a blind source separation technique, independent component analysis (ICA) has many applications in functional magnetic resonance imaging (fMRI). Although either temporal or spatial prior ...
ABSTRACT: Nowadays, brain function evaluation using Functional Near Infrared Spectroscopy (fNIRS) is one of the most potential non-invasive monitoring techniques. This paper concerns usefulness of the ...
ABSTRACT: A class of rapid algorithms for independent component analysis (ICA) is presented. This method utilizes multi-step past information with respect to an existing fixed-point style for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results