Jiuwen Cao

TL;DR: A brief survey on the recent research of AVS, including the hardware development and the algorithms on source localization, target tracking, and noise reduction, and a short discussion on challenges, future prospects, and potential applications ofAVS are brought.

TL;DR: In this paper , the scalp EEG based functional connectivity (including correlation, coherence, time frequency cross mutual information, phase-locking value, phase Lag Index, Weighted Phase Lag Index) and network topology parameters (including Clustering coefficient, Feature path length, Global efficiency, and Local efficiency) are comprehensively studied for the prognostic analysis of the West episode cycle.

TL;DR: A novel randomized AE that imposes the constraint of the within-class scatter information is developed in feature learning and the correntropy criterion is applied to replace the mean square error criterion (MSE) to enhance the algorithm performance in outlier and noise rejection.

TL;DR: Experiments on real periodic vibration signals generated by an electric hammer under different collecting distances and transmission medias are conducted to show the superiority of the proposed distance estimation method in this paper.

TL;DR: A fractional-order Newton-based extremum seeking control method is developed to enhance the tracking accuracy and convergence speed and significantly reduces the impact of selecting an arbitrary Hessian matrix on tracking speed of the algorithm.