A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Advancing healthcare, needle-free diagnostics employ wearable biosensors for noninvasive testing, ensuring rapid results and broader access to care.

According to Precedence Research, the global spintronics market size was estimated at USD 2.20 billion in 2025 and is predicted to increase from USD 3.03 billion in 2026 to nearly USD 49.33 billion by ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category ...

Researchers at RIT have improved the electronics used in communication and radar systems to better process signals using electromagnetic radio waves. This breakthrough could advance computing ...

Abstract: The signal processing community is currently witnessing a growing interest in near-field signal processing, driven by the trend toward the use of large-aperture arrays with high spatial ...

This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and processing ...

UD's Intelligent Signal Systems Laboratory is a world-class research laboratory in image processing and computer vision. The lab focuses on three areas of research: Physical and statistical modeling ...

Noise is the bane of signal engineers, but deep learning models with AI can adapt to specific noises and filter them out with minimal to no human intervention required. It is a powerful feature for ...