This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
In network tomography, we seek to infer link status parameters (such as delay) inside a network through end-toend probe sending between (external) boundary nodes. The main challeng...
Optical scanning holography is a form of digital holographic system, which allows us to capture a three-dimensional (3D) object in the two-dimensional (2D) hologram. A postprocess...
Compressed sensing is applied to multiview image sets and interimage disparity compensation is incorporated into image reconstruction in order to take advantage of the high degree...
Maria Trocan, Thomas Maugey, Eric W. Tramel, James...
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...
Stephan Wenger, Soheil Darabi, Pradeep Sen, Karl-H...