Bearing pitting, one of the common faults in mechanical systems, is a research hotspot in
both academia and industry. Traditional fault diagnosis methods for bearings are based on …

Partial discharge (PD) detection plays a vital role in on-line condition monitoring of electrical
apparatus in the power systems. However, the noise of PD measurements significantly …

Despite the successful launch of Advanced Television Systems Committee (ATSC) 3.0
broadcasting worldwide, broadcasters are facing obstacles in constructing void‐less large …

Finding sensitive and appropriate technologies for early detection of the Alzheimer's disease
(AD) are of fundamental importance to develop early treatments. Single Photon Emission …

The paper presents a new model of noise cancellation using cascading of cascaded LMS
adaptive filters. The model has a combination of '2 N+ 1 2 N+ 1'LMS filters for N-stage of …

This study presents an adaptive control algorithm known as variable learning and adaptive
gradient based least mean square for improving the power quality features in standalone …

The Andrew's sine function is a robust estimator, which has been used in outlier rejection
and robust statistics. However, the performance of such estimator does not receive attention …

The P 300 is an endogenous event-related potential (ERP) that is naturally elicited by rare
and significant stimuli, arisen from the frontal, temporal and occipital lobe of the brain …

In this work, a new class of stochastic gradient algorithm is developed based on q-calculus.
Unlike the existing q-LMS algorithm, the proposed approach fully utilizes the concept of q …

The present research investigates the innovative concept of LMS adaptive noise
cancellation by means of a modified algorithm using an LMS adaptive filter along with their …