In this article we address efficiency issues in implementation of Monte Carlo algorithm for 3D capacitance extraction. Error bounds in statistical capacitance estimation are discus...
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
—This paper addresses the sampling jitter estimation and cancellation task in direct RF sub-sampling type radios. The proposed jitter estimation method is based on carefully inje...
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...