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A novel framework is developed that decomposes a matrix into sparse factors. The sparse matrix decomposition scheme is utilized to determine in a distributed fashion which sensors, in a sensor network, acquire informative data about phenomena of interest. A setting, where the sensor data covariance matrix consists of hidden sparse factors, is considered. The proposed sparsity-cognizant algorithm is...
This paper presents two new, efficient solutions to the two-view, relative pose problem from three image point correspondences and one common reference direction. This three-plus-one problem can be used either as a substitute for the classic five-point algorithm, using a vanishing point for the reference direction, or to make use of an inertial measurement unit commonly available on robots and mobile...
This paper proposes a new approach to analyze crosstalk of coupled interconnects in the presence of process variations. The suggested method translates correlated process variations into orthogonal random variables by principle component analysis (PCA). combined with polynomial chaos expression (PCE), the technique utilizes Stochastic Collocation Method (SCM) to analyze the system response of coupled...
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