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For:

Professor Dragotti

Sampling and Reconstruction driven by Sparsity Models with Applications in Sensor Networks and Neuroscience

Project summary

Publications

Project Members

Project Members:

Matteo Maggioni, Post-Doc, (Now at Foundry)September 2015 -February 2017
Junjie Huang, PhD, October 2015-
Stephanie Reynolds, PhD, November 2014 -
Yingsong Zhang, Post-Doc (now Data Scientist at ASI), September 2012 -September 2015
John Murray-Bruce, PhD, (now post-doc at Boston university), Sensing physical fields: Inverse problems for the diffusion equation and beyond, November 2012- October 2016
Ivy Weng, PhD, Extensions of the Theory of Sampling Signals with Finite Rate of Innovation, Performance Analysis and an Application to Single image Super-Resolution, October 2012-September 2016
Jon Onativia, PhD, (now research engineer at Egile) Sampling and Reconstruction of Finite Rate of Innovation Signals with Applications in Neuroscience and Sparse Representation, November 2011-October 2015
Jose Antonio Uriguen, PhD, (now post-doc at Deusto University), Exact and approximate Strang-Fix conditions to reconstruct signals with Finite Rate of Innovationfrom samples taken with arbitrary kernels, November 2009 -July 2013