Abstract--Image denoising methods are often designed to minimize mean-squared error (MSE) within the subbands of a multiscale decomposition. However, most high-quality denoising re...
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
We propose a new VLSI layout methodology which addresses the main problems faced in Deep Sub-Micron (DSM) integrated circuit design. Our layout "fabric" scheme eliminate...
Sunil P. Khatri, Amit Mehrotra, Robert K. Brayton,...