Radio frequency interference (RFI) remains a critical challenge in synthetic aperture radiometry, where precise reconstruction of brightness temperature maps is essential for environmental, ...

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 ...

Abstract: Accurate weather forecasts are crucial to ensure that the nation is responsive and prepared for weather and climate disasters. Passive microwave radiometer measurements of temperature, ...

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.

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 ...

Test results reported in ACS Nano confirm extreme resilience to electronic interference, achieving more than 35 decibels of ...