Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
Although iterative reconstruction techniques (IRTs) have been shown to produce images of superior quality over conventional filtered back projection (FBP) based algorithms, the u...
Byunghyun Jang, David R. Kaeli, Synho Do, Homer H....
As the need for information security increases in our everyday life, the job of encoding/decoding for secure information delivery becomes a critical issue in data network systems. ...
Jaeyoung Yi, Karam Park, Joonseok Park, Won Woo Ro
—We analyze how node mobility can influence the convergence time of averaging gossip algorithms on networks. Our main result is that even a small number of fully mobile nodes ca...
Saddle-point problems give rise to indefinite linear systems that are challenging to solve via iterative methods. This paper surveys two recent techniques for solving such problem...