The algorithms of blind separation of sources, in the general case and for instantaneous mixtures, are based on high-order statistics; most of them use the fourth-order statistics. For an instantaneous mixture of only two sources, we proposed in [14] an algorithm of blind separation of sources. The separation was achieved by minimizing the cross-cumulant (2x2) of the two output signals. The min...

In this paper, a parametric electromagnetic radiated emission model has been explored. Several mathematical improvements with respect to its extraction and computational performance have been deployed. The model, represented with an array of radiating electric dipoles, predicts the electromagnetic emission of components and systems. Core-level changes have been made in order to extract the mode...

The linearized approach to the shape from motion problem, e.g. the factorization method, is robust to find a unique solution with fast computation, but the occlusion and perspective distortion are out of scope in the linear formulation. In contrast, the nonlinear approach is free from such limitations, yet it involves two problems; one is to find the globally optimal solution and the other to r...

The problem is to determine the homographies between several images taken from a common camera location (but with di erent orientations) and then use these homographies to mosaic the images into a single wide angle image. RANSAC is to be used to determine the homographies with LevenbergMarquardt minimization used to re ne the results. Furthermore, the change in camera angle between each image s...

We consider the localization problem of multiple wideband sources in a multi-path environment by coherently taking into account the attenuation characteristics and the time delays in the reception of the signal. Our proposed method leaves the space for unavailability of an accurate signal attenuation model in the environment by considering the model as an unknown function with reasonable prior ...

In this paper, we investigate the energy efficiency of downlink transmissions in heterogeneous networks (HetNets). Our objective is to satisfy the rate requirement of users while maximizing the energy efficiency of the network. We employ the fractional frequency reuse (FFR) scheme to increase the energy efficiency of downlink transmissions and to eliminate outages for the cell-edge users. The p...

Image enhancement plays a vital role in various applications. There are many techniques to remove the noise from the image and produce the clear visual of the image. Moreover, there are several filters and image smoothing techniques available in the literature. All these available techniques have certain limitations. Recently, neural networks are found to be a very efficient tool for image enha...

The sensitivity of a Cherenkov imaging telescope, is strongly dependent on the rejection of the cosmic-ray background events. Some of the methods which have been used to achieve this segregation include methods like Supercuts, Maximum likelihood classifier, Kernel methods, Fractals Wavelets, Factorial Moments, Random Forest etc. While the segregation potential of neural network classifier has b...

In this paper, we explore the idea of designing nonanthropomorphic, multi-fingered robotic hands for tasks that replicate the motion of the human hand. Taking as input data rigid-body trajectories for the five fingertips, we develop a method to perform dimensional synthesis for a kinematic chain with a tree structure, with three common joints and five branches. We state the forward kinematics e...

An Ant Colony System (ACS) minimizer is implemented for the solution of the inverse radiative transfer problem associated to the estimation of the optical thickness, single scattering albedo and boundary surfaces diffuse reflectivities in a one-dimensional homogeneous medium. The ACS minimizer was implemented in a PC cluster using the MPI library yielding good speed-up and efficiency results. A...