A patient-specific seizure prediction algorithm is proposed that extracts novel multivariate signal coherence features from ECoG recordings and classifies a patient’s pre-seiz...
James R. Williamson, Daniel W. Bliss, David W. Bro...
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
In our current work we concentrate on finding correlation between speech signal and occurrence of facial gestures. Motivation behind this work is computer-generated human correspon...
Transient Signal Analysis (TSA) is a parametric device testing technique based on the analysis of dynamic (transient) current (iDDT) drawn by the core logic from the power supply ...