Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

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

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

Visual comparisons of different methods for super-resolution. The figure presents the measurements (left), reconstructed results (center), and ground truth (right). PSNR and LPIPS values are annotated ...

The market is poised for rapid growth, driven by increased defense and aerospace spending, demand for electronic warfare ...

Trxdynis, a technology company focused on advanced market analytics, today announced the successful rollout of real-time AI signal enhancements across its analytics platform, marking the completion of ...

Richard G. Baraniuk, the C. Sidney Burrus Professor of Electrical and Computer Engineering at Rice University (Photo credit: Brandon Martin/Rice University). Richard G. Baraniuk, the C. Sidney Burrus ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Matthew Bird has previously received funding from the Department of Defense. The views expressed in this manuscript are those of the author and do not necessarily reflect the views, opinions, or ...