Electroencephalography (EEG) is a diagnostic test that records and measures the electrical
activity of the human brain. Research investigating human behaviors and conditions using …

To solve the problem of optimal wavelet basis function selection in feature extraction of
motor imagery electroencephalogram (MI-EEG) by wavelet packet transformation (WPT) …

Human memory stores various information and events that can be retrieved when needed.
Many factors can influence memory performance which either provide positive or negative …

This paper presents an innovative way of image compression using Field-Programmable
Gate Array (FPGA) implementation of the Integer Wavelet Transform (IWT) and Discrete …

Abstract Electroencephalography (EEG)-based Brain–computer interface (BCI) technology
allows a user to control an external device without muscle intervention through recorded …

Electroencephalography (EEG) data recordings can be contaminated by artefacts that
reduce the quality and make analysis difficult, and therefore cleaning methods are essential …

The security of images has gained great interest in modern communication systems. This is
due to the massive critical applications that are based on images. Medical imaging is at the …

Electroencephalogram (EEG) signals are the electrical signals that are generated due to the
different activities of brain cells. These signals are utilized to diagnose various clinical …

Due to the gigantic power quality (PQ) demands for modern systems, power systems fault
detection and diagnosis have become a significant issue. For this aim, it's very important to …

In this article, a novel adaptiveImage Fusion'(IF) algorithm has been presented. The
proposed IF algorithm exploits the capability ofDiscrete Wavelet Transform'(DWT) to …