Abstract—Over the last few years, electronic vehicle guidance systems have become increasingly more popular. However, despite their ubiquity, performance will always be subject t...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Abstract—We propose a sequential framework for the distributed multiple-sensor estimation and coding problem that decomposes the problem into a series of side-informed source cod...
Abstract—In cognitive radio networks (CRNs), detecting smallscale primary devices, such as wireless microphones, is a challenging, but very important, problem that has not yet be...
Abstract--We present an application of a modified KalmanFilter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is rob...