The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
We present a hybrid approach to image watermarking that exploits results from both information theory and perceptual studies. Towards this purpose we use a waterfilling-type algor...
Computer vision has been studied for more than 40 years. Due to the increasingly diverse and rapidly developed topics in vision and the related fields (e.g., machine learning, sign...
— We have investigated information transmission in operational transconductance amplifiers (OTA) using chopper modulation. Previous work showed that the optimal frequency bandwi...
Multi-dimensional systems containing nested loops are widely used to model scientific applications such as image processing, geophysical signal processing and fluid dynamics. Ho...
Ted Zhihong Yu, Edwin Hsing-Mean Sha, Nelson L. Pa...