We model and verify analog designs in the presence of noise and process variation using an automated theorem prover, MetiTarski. Due to the statistical nature of noise, we propose ...
Rajeev Narayanan, Behzad Akbarpour, Mohamed H. Zak...
Over the past few years we have witnessed steady progress toward convergence in communications. We believe we are now witnessing nce beyond just media transport. Further, abstract ...
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
This paper conjectures a computational account of how children might learn the meanings of words in their native language. First, a simplified version of the lexical acquisition t...
The finite sample properties of the Fourier estimator of integrated volatility under market microstructure noise are studied. Analytic expressions for the bias and the mean square...