9th IMA International Conference on Mathematics in Signal Processing

Date: Monday 17 - Thursday 20 December 2012 Location: Austin Court, Birmingham

Signal processing constitutes an important area for the application of mathematical concepts and techniques fuelled, for example, by developments in mobile communications, multimedia systems and digital TV. The subject is still advancing rapidly in areas such as non-linear/non-Gaussian/non-stationary signal processing, compressive sampling, digital communication systems, iterative estimation (e.g. turbo codes), blind deconvolution/signal separation and broadband systems. The last IMA conference on this subject was held in December 2008 and in response to popular demand, the next one will be held in December 2012. The aim of the conference is to bring together mathematicians, statisticians and engineers with a view to exploring recent developments and identifying fruitful avenues for further research. It is hoped that the meeting will help to attract more mathematicians into this important and challenging field.

The conference will follow the same successful format as before, comprising a keynote address and six non-overlapping sessions each featuring:

(a) two or three spoken papers with some tutorial content
(b) a related poster session for more specific research papers.

A social programme will be organised and will include a reception to welcome delegates.
Instructions for Contributors

Contributed papers are invited on all aspects of mathematics in signal processing and will be accepted on the basis of a 300-500 word abstract which should be submitted by 2 May 2012 online at http://online.ima.org.uk or by e-mail to conferences@ima.org.uk. Authors will be advised of acceptance by 4 July 2012. The majority of contributed papers will be presented in the poster sessions. Successful authors will be invited to submit a four page summary for inclusion in the conference digest by 7 November 2012.

Papers describing the application of these techniques in physical modelling, communications, financial modelling, medicine, meteorology, radar, seismology, sonar, ocean science, multimedia, instrumentation and control, audio, and acoustics, etc, are welcome:

Non-linear Signal Processing
Non-Gaussian Signal Processing
Non-stationary Signal Processing
Statistical Signal Processing
Compressed Sampling
Inverse Problems
Adaptive Filtering
Numerical Linear Algebra
Pattern Recognition
Image Processing
Array Signal Processing
Bayesian Signal Processing
Signal Separation Techniques
Applications of Finite Mathematics
Nonlinear Optimisation/Modelling
Blind Deconvolution / Equalisation
Approximation Techniques
Time-frequency / Time-scale Analysis
Space-Time Adaptive Signal Processing
Vector Sensors and Geometric Processing
High Resolution Spectral Analysis
Signal Processing aspect of digital communications
Simultaneous localisation and mapping
Inference for diffusion processes.