Periodic component analysis as a spatial filter for SSVEP-based brain–computer interface
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2018.06.003
Abstract: Abstract Background Traditional spatial filters used for steady-state visual evoked potential (SSVEP) extraction such as minimum energy combination (MEC) require the estimation of the background electroencephalogram (EEG) noise components. Even though this leads to improved… read more here.
Keywords: ssvep based; analysis; periodic component; ssvep ... See more keywords
Quasi-Periodic Component Decomposition: New Decomposition Theory for Gear Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3427776
Abstract: In this article, a new decomposition theory, quasi-periodic component decomposition (QPCD), is tailored for the feature extraction of machinery faults. The proposed QPCD defines the Blaschke transform, which employs a greedy iterative algorithm to represent… read more here.
Keywords: quasi periodic; periodic component; new decomposition; decomposition theory ... See more keywords
Evaluation of Short-Term Freeway Speed Prediction Based on Periodic Analysis Using Statistical Models and Machine Learning Models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Advanced Transportation"
DOI: 10.1155/2020/9628957
Abstract: Accurate prediction of traffic information (i.e., traffic flow, travel time, traffic speed, etc.) is a key component of Intelligent Transportation System (ITS). Traffic speed is an important indicator to evaluate traffic efficiency. Up to date,… read more here.
Keywords: speed; periodic component; machine learning; prediction ... See more keywords