A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Delay lines bridge abstract timing concepts with hands-on engineering solutions in communications, signal conditioning, and ...

The production team of tvN’s “The Second Signal” has issued a statement regarding the situation involving its cast member Cho Jin Woong. Previously on December 5, it was revealed that Cho Jin Woong ...

Secretary of Defense Pete Hegseth risked compromising sensitive military information, which could have endangered American troops and mission objectives, when he used Signal in March of this year to ...

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: After nearly a century of specialized applications in optics, remote sensing, and acoustics, the near-field (NF) electromagnetic (EM) propagation zone is experiencing a resurgence in ...

Signal announced the introduction of Sparse Post-Quantum Ratchet (SPQR), a new cryptographic component designed to withstand quantum computing threats. SPQR will serve as an advanced mechanism that ...

Watch a complete processing walkthrough of the Needle Galaxy image taken from a white zone using PixInsight. Perfect for beginners wanting to learn astrophotography editing techniques for ...

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: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

Abstract: Statistical signal processing involves extracting information from random observations, a task that relies heavily on metrics that quantify the information present in the data. These metrics ...