Explores different types of noise in devices and circuits, including interference noise, inherent noise, and random signals.
Explores Generalized Linear Models, Bayesian methods, compressed sensing, and perception in high-dimensional statistics.
Covers strategies to combat noise sources in electronics measurements and explores techniques to mitigate noise and improve measurement accuracy.
Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.
Explores OFDM channel estimation for wireless receivers, emphasizing the importance of accurate estimation in wireless communication systems.
Explores physics-informed imaging systems, including lensless imaging, deep learning for imaging challenges, and the development of noise models for low-light videos.
