In November 2005, a small group of behavioral and social sciences investigators from the University of Pennsylvania and Emory University began planning for the establishment of a network between scientists involved in HIV prevention and treatment research. The purpose of this network was 3-fold. First, it was intended to foster multisite collaborations between behavioral and social scientists. ...

A cell-averaged constant false alarm rate (CFAR) detector is described and applied to data collected with a multibeam echo sounder (MBES). The CFAR designed specifically for transient targets observed MBES, operates under the assumption that background noise, including volume seafloor reverberation, locally stationary in time. This assumption, performance general, was examined by 30-kHz MBES op...

The traditional constant false alarm rate (CFAR) method, with fixed parameter settings and single noise background calculation, is unable to intelligently catch the current detection background. To improve performance of CFAR this paper proposes a target method based on decision tree classification (DTC) for high-frequency surface wave radar (HFSWR). Firstly, training sample set labels are obta...

Page | 915 Volume 3, Issue 12, December 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Moving Target Detection Using VI-CFAR Algorithm on MATLAB Platform Ajay Kumar Yadav*, Laxmi Kant School of Electronics and Communication Engineering Shri Mata Vaishno Devi University Jammu and Ka...