We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
—This paper introduces a new method to blindly estimate the transmit power of multiple signal sources in multiantenna fading channels, when the number of sensing devices and the ...
Romain Couillet, Jack W. Silverstein, Zhidong Bai,...
—Masking is a side-channel countermeasure that randomizes side-channel leakage, such as the power dissipation of a circuit. Masking is only effective on the condition that the in...
— Lithographic variability and its impact on printability is a major concern in today’s semiconductor manufacturing process. To address sub-wavelength printability, a number of...