UAlbany's Mustafa Aksoy is leading the development of machine-learning algorithms that can detect and remove radio frequency interference that impairs the accuracy of U.S. satellite measurements.

To meet an increased demand for canceling radio frequency (RF) signal interference, L3 has built a system that can do just that and is planning to expand it into a software capability. L3 is already ...

Radio Frequency Interference (RFI) is a significant challenge in the field of synthetic aperture radiometry, which is a technique used to create high-resolution images of the Earth's surface from ...

Associate Professor of Physics Jonathan Pober has spent the past 20 years detecting faint astronomical signals in radio waves that can provide information about the early universe. This task can be ...

RF interference acts like a light switch. Absent interference, things work fine. However, as soon as interference is present performance comes almost to a grinding halt. Over the past two months I ...