** The Music and Science list is managed by the Institute of Musical Research (www.music.sas.ac.uk) as a bulletin board and discussion forum for researchers working at the shared boundaries of science and music. **

MESSAGE FOLLOWS:



Dear all,

On Wednesday, 16th May at 2:00pm, Miguel Rodrigues will present the 
seminar 'Communications-Inspired Compressive Sensing'.

Please note that the talk will take place at BR.4.02 in the Computer 
Science building, Queen Mary University of London, Mile End Road, London 
E1 4NS.

Directions on how to access the building can be found at 
http://www.eecs.qmul.ac.uk/about/campus-map.php. If you are coming from 
outside Queen Mary, please let me know, so I can make sure no-one is stuck 
outside the doors. Details of future seminars can be found at 
http://www.eecs.qmul.ac.uk/newsevents/researchgroupevents.php?i=12.

All are welcome to attend. For those unable to do so, a video recording of 
the seminar will be made available online after a few days.

If you wish to be added to / removed from our mailing list, please send me 
an email and I'll be happy to do so.


Wednesday's seminar (16th May, 2:00pm):

Title:

Communications-Inspired Compressive Sensing

Speaker:

Miguel Rodrigues

Abstract:

Compressive sensing (CS) has recently emerged as an important area of 
research in image sensing and processing. Conventional sensing systems 
employ a two-step procedure: i) data acquisition; and ii) data compression 
for subsequent storage or communication. CS systems, in contrast, acquire 
the data directly in a compressed format. CS signal acquisition or 
measurement involves projecting the underlying signal or image onto a set 
of vectors and CS recovery involves solving an inverse problem.

There are two hallmarks of the original CS theory. First, the projection 
vectors are typically constituted uniformly at random. Second, the inverse 
recovery problem is regularized based on the assumption that the 
underlying signal or image admits a sparse representation in some 
orthonormal basis or frame. However, it has been recognized, even in some 
of the early CS studies, that improved recovery performance could be 
achieved by using optimized projection vectors in lieu of the random ones; 
further, it has also been recently recognized that improved recovery 
performance could also be achieved by leveraging a signal model that goes 
beyond the conventional -- often overly primitive -- sparse one.

This talk outlines how to build upon recent advances in the fields of 
information theory and communications to design CS projections -- or 
measurement kernels -- matched to a general signal statistical model. The 
crux of the design approach is the realization that the projections design 
problem for CS systems exhibits parallels with the precoder design problem 
for multiple-input-multiple-output (MIMO) communications systems: in the 
communications problem a source is being matched to a channel whereas in 
the CS problem a channel, or equivalently the noise covariance, is being 
matched to the source. This new design approach is shown to lead to 
theoretical results, which unveil key operations effected by the 
projection designs, as well as state-of-the-art experimental results in 
practical CS imaging problems.

This represents joint work with William Carson (U. Porto, Portugal), 
Minhua Chen (Duke U., USA), Lawrence Carin (Duke U., USA) and Robert 
Calderbank (Duke U., USA).

Bio:

Miguel Rodrigues is a Senior Lecturer with the Department of Electronic 
and Electrical Engineering, University College London, UK. He was 
previously with the Department of Computer Science, University of Porto, 
Portugal, raising through the ranks from Assistant to Associate Professor, 
where he also led the Information Theory and Communications Research Group 
at Instituto de Telecomunicações - Porto.

He received the Licenciatura degree in Electrical Engineering from the 
University of Porto, Portugal in 1998 and the Ph.D. degree in Electronic 
and Electrical Engineering from University College London, UK in 2002. He 
has carried out postdoctoral research work both at Cambridge University, 
UK, as well as Princeton University, USA, in the period 2003 to 2007. He 
has also held visiting research appointments at Princeton University, USA 
and Duke University, USA in the period 2007 to 2012. He is also a Visiting 
Fellow at Cambridge University.

His research work, which lies in the general areas of information theory, 
communications and signal processing, has led to nearly 100 papers in 
journals and conferences to date.

Dr. Rodrigues was honored with the IEEE Information Theory and 
Communications Societies Joint Paper Award 2011 for his work on ``Wireless 
Information-Theoretic Security'' (jointly with M. Bloch, J. Barros and S. 
McLaughlin). Dr. Rodrigues was also the recipient of the Prize Engenheiro 
António de Almeida, the Prize Engenheiro Cristiano Spratley, and the Merit 
Scholarship from the University of Porto.


Future C4DM seminars (Seminar details tbc):

Bob Sturm - Aalborg University Copenhagen
Wed 23rd May 2012

Ben Fields - Musicmetric
Wed 6th June 2012





--
Peter Foster
Postgraduate Research Student
Room 104, Electronic Engineering Bldg
Centre for Digital Music
Queen Mary, University of London
Mile End Road, London E1 4NS, UK
email: [log in to unmask]