Signals comprised of a stream of short pulses appear in many applications including bio-imaging and radar. The recent finite rate of innovation framework, has paved the way to lo...
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Sound methods of analysis and comparison of software processes are crucial for such tasks as process understanding, process correctness verification, evolution management, proces...
Rodion M. Podorozhny, Dewayne E. Perry, Leon J. Os...
Providing Quality-of-Service (QoS) guarantees and mobility support for Internet devices has become a hot research topic in the Next Generation Internet research, since mobile compu...
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...