In this paper, radar detection based on Monte Carlo sampling is studied. Two detectors based on Importance Sampling are presented. In these detectors, called Particle Detector, the approximated likelihood ratio is calculated by Monte Carlo sampling. In the first detector, the unknown parameters are first estimated and are substituted in the likelihood ratio (like &#10the GLRT method). In the s...

Infrared detectors can be used for a variety of applications such as: using in fiber-optic communications. Conventional technology for IR detectors is using p-i-n structure based on GaAs compound. This paper reports on the design and modeling of an IR detector using a p-i-n GaAs structure. Comsol software is used to simulate the model and the detector is discussed for terminal current, dopant p...

Introduction: Iterative reconstruction techniques provide better image quality and have the potential for reconstructions with lower imaging dose than classical methods in computed tomography (CT). However, the computational speed is major concern for these iterative techniques. The system matrix calculation during the forward- and back projection is one of the most time- cons...

This paper presents a new fusion scheme for enhancing the result quality based on the combination of multiple different detectors. We present a study showing the fusion of multiple video analysis detectors like “detecting unattended luggage” in video sequences. One of the problems is the time jitter between different detectors, i.e. typically one system can trigger an event several seconds befo...

background: radon and its daughters are amongst the most important sources of natural exposure in the world. soil is one of the significant sources of radon/thoron due to both radium and thorium so that the emanated thoron from it may cause increased uncertainties in radon measurements. recently, a diffusion chamber has been designed and optimized for passive discriminative measurements of rado...