Sensors capable of sensing phenomena at high data rates—on the order of tens to hundreds of thousands of samples per second—are useful in many industrial, civil engineering, s...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Modern digital signal processing applications have an increasing demand for computational power while needing to preserve low power dissipation and high flexibility. For many appl...
B. Neumann, Thorsten von Sydow, Holger Blume, Tobi...
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
A temporal correlation based port combination algorithm that customizes the router design in Network-on-Chip (NoC) is proposed for reconfigurable systems in order to minimize req...