This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
Rapid approximation of the transient response of high-speed global interconnects is needed to estimate the time delay, crosstalk, and overshoot in a GSI multilevel wiring network....
Raguraman Venkatesan, Jeffrey A. Davis, James D. M...
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Background: The optimal score for ungapped local alignments of infinitely long random sequences is known to follow a Gumbel extreme value distribution. Less is known about the imp...
Stefan Wolfsheimer, Bernd Burghardt, Alexander K. ...