This paper presents a method aimed to noise
removal in MRI (Magnetic Resonance Imaging). We
propose an improvement of Perona and Malik's
anisotropic diffusion filter. In ou...
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
In particle filter?based visual trackers, dynamic velocity components are typically incorporated into the state update equations. In these cases, there is a risk that the uncertai...
Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Di...
Abstract--We present decentralized adaptive filtering algorithms for sensor activation control in an unattended ground sensor network (UGSN) comprised of ZigBee-enabled nodes. Node...
Vikram Krishnamurthy, Michael Maskery, Gang George...