Multiple kernel learning based on three discriminant features for a P300 speller BCI
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.053
Abstract: In this paper, we propose multiple kernel learning (MKL) based on three discriminant features to learn an efficient P300 classifier to improve the accuracy of character recognition in a P300 speller BCI. Three discriminant features… read more here.
Keywords: speller bci; three discriminant; p300 speller; discriminant feature ... See more keywords
Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3022770
Abstract: Raw statistical features can imitate the amplitude, average, energy and time, and frequency series distribution of a raw vibration signal. However, these raw statistical features are either not very sensitive to weak incipient faults or… read more here.
Keywords: feature extraction; feature; centrifugal pump; pump fault ... See more keywords