Sciweavers

ICASSP
2011
IEEE
13 years 2 months ago
Bayesian framework and message passing for joint support and signal recovery of approximately sparse signals
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
Shubha Shedthikere, Ananthanarayanan Chockalingam
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 9 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
HYBRID
2010
Springer
14 years 4 months ago
Distributed Kalman Filter algorithms for self-localization of mobile devices
This paper addresses the problem of self localization of mobile devices. In particular, each device combines noisy measurements of its absolute position with distance measurements...
Anne-Kathrin Hess, Anders Rantzer
GLOBECOM
2006
IEEE
14 years 5 months ago
Interdomain RWA Based on Stochastic Estimation Methods and Adaptive Filtering for Optical Networks
Abstract- This paper presents a RWA strategy based on the stochastic estimation of the Effective Number of Available Wavelengths (ENAW) along interdomain paths. We propose an appro...
Marcelo Yannuzzi, Xavier Masip-Bruin, Sergio S&aac...
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
14 years 5 months ago
On frame and orientation localization for relative sensing networks
We develop a novel localization theory for planar networks of nodes that measure each other’s relative position, i.e., we assume that nodes do not have the ability to perform me...
Giulia Piova, Iman Shames, Baris Fidan, Francesco ...
EWSN
2008
Springer
14 years 10 months ago
Distributed Inference for Network Localization Using Radio Interferometric Ranging
Abstract. A localization algorithm using radio interferometric measurements is presented. A probabilistic model is constructed that accounts for general noise models and lends itse...
Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-J...