Abstract: Low-cost radio-based distance measurement devices, (like) such as ultrawideband (UWB) and Zigbee, are limited by transmission power and environmental noise interference, resulting in bias ...
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Abstract: This research addresses the acoustic feedback and stability performance of Active Noise Control (ANC) systems. The Filtered Cross Least Mean Square (FxLMS) algorithm is one of ANC’s most ...