My research interests are on the borderline of signal processing, learning theory and statistics. One of my major research focus is on active learning techniques, also known as sequential experimental design. These include learning/sampling procedures that are able to use information gleaned from previous samples to adapt the sampling procedure. Applications include, among others, network monitoring and measurement and effective spectrum analysis methods for opportunistic transmission in cognitive radio.
Currently I have been working (together with Jarvis Haupt and Rob Nowak) on Distilled Sensing (DS), a multi-step, selective (adaptive) sampling procedure for recovering sparse signals from noisy observations. DS results in dramatic quantifiable improvements over the best non-adaptive sensing methods for the estimation and detection of sparse signals in noise. More information can be found in http://www.distilledsensing.org.
List of Publications C.V. [.pdf]
This page was last updated on Mar. 25th, 2009
Copyright © 2009 - Rui Castro