Traditional signal processing techniques have achieved much, but they face notable limitations when confronted with complex, high-volume data. Classical methods often rely on manual feature extraction ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Abstract: Transit time ultrasonic flowmeters offer a variety of advantages over other flowmetry methods; including low pressure loss, no moving parts, self-diagnosing capabilities, and possibility of ...

ABSTRACT: This study investigates spatiotemporal variations in Terrestrial Water Storage (TWS) over Nigeria during the period 2002-2024 using Gravity Recovery and Climate Experiment (GRACE) satellite ...

Ancient stone structures on the West Coast are helping experts understand more about historic food practices, according to groundbreaking scientific research. In a recent interview with Fox News ...

Abstract: Enhanced magnetic memory detection signals often contain numerous environmental interferences. Conventional signal processing methods, such as improved complete ensemble empirical modal ...

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...

Introduction: Automatic modulation recognition (AMR) plays a crucial role in modern communication systems for efficient signal processing and monitoring. However, existing modulation recognition ...