Contact details

Room 805
Communications and Signal Processing Group
EEE Department
Imperial College London
Exhibition Road
London SW7 2AZ, United Kingdom

jon.onativia@imperial.ac.uk

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About me

Currently PhD student in the Communications and Signal Processing Group at Imperial College London. My supervisor is Dr Pier Luigi Dragotti.

Short bio

I started my undergrad studies in the University of the Basque Country in 2002 where I completed the first 3 years out of 5 of the Ingenierio de Telecomunicación degree. The first year I received the Special Prize for best Academic Records with a GPA of 8.14/10 (best GPA out of 120 students). In 2005 I transferred to the Universidad Politécnica de Madrid (UPM), where I enrolled in a double degree program with Télécom ParisTech. In 2008 I obtained both degrees, Ingenierio de Telecomunicación from the UPM and Ingénieur diplômé de l'École Nationale Supérieure des Télécommunictions (Promo 2008).

During my studies I did two internships, one at Vicomtech where I worked in augmented reality applications for digital television and another at General Electric Healthcare where I collaborated in the development of a prototype for 3D mammography review with image processing features. I then worked for two years and a half at NDS (part of Cisco) where I participated in a variety of projects related to digital televsion (multimedia home networking and DRM protected content distribution over IP, gestural recognition UI design using depth measurement cameras, etc).

In 2010 I came to Imperial College London where I obtained an MSc in Communications and Signal Processing with Distinction. In November 2011 I started my PhD under the supervision of Dr Pier Luigi Dragotti.

Research

My current research is in the field of modern sampling theory (sampling finite rate of innovation signals, sparsity and uncertainty principles, etc). I am currently working on extending the theory to new type of signals and applying it to neural signals for spike inference. I have also worked in compression of multiview images.

Publications

Journal papers

Conference papers

Conference abstracts

Software

Layer-based multiview image compression

MATLAB toolkit to compress multiview images. Contains compiled functions (MEX files) for Windows 32 bits platform. Requires Cygwin.

If you use this software, we request that you cite:

The zip file contains datasets from the "Middlebury Stereo Datasets". However, the "Animal Farm" dataset is original and if you use it, please quote the following paper: