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Research
Theme A: Classification and Multimodal Fusion Theme
[I1] Context-Driven Object ID
[I2] Early Auditory-Visual Integration for Transient Detection
[I6] Wave Wakes
[O01] Locally Invariant Signal Processing to Discriminate Between Key Man-made and Natural Features
[O02] Generic Distributed Target Tracking Algorithms in Sensor Networks
[O03] Hamiltonian-based data clustering and classification
[O04] Advanced High Resolution Methods for Radar Imaging and Micro-Doppler Signature Extraction
[O08] Distributed Signal Processing for Distributed Sensor Networks
[O11] Multimodal Blind Source Separation for Robot Audition
[O14] Distributed and Iterative Processing for Wireless Sensor Networks with Multiple Local Fusion Centres
[O15] Scalable Information Fusion: Adaptivity for Complex Environments and Secure Data
[O16] Target Detetction in Clutter for Sonar Imagery
[O17] Target Classification And Tracking Using Acoustic Micro-Doppler Signatures
Theme B: Detection, Localisation & Tracking Theme
[C1] Auto-Calibration
[C2] Arrayed MIMO RADAR
[C4] Low SWAP Target Localisation and Spatiotemporal Beamforming
[I3] Extracting tones which vary in frequency from non Gaussian noise
[I4] Multi-Beam SAR
[I5] Synthetic Noise
[O05] Cooperative Localisation: Distributed Optimisation with Hypothesis Testing
[O06] Source Separation for Electronic Surveillance
[O07] Signal Processing Techniques to Reduce the Clutter Competition in Forward Looking Radar
[O09] Low-Complexity Adaptive Beamforming Algorithms Based on Low-Rank Decompositions and Set-Membership Filtering
[O10] SAR processing with zeros
[O12] Real Time Model Adaptation for Non-Stationary Systems
[O13] Joint Blind Enhancement and Passive Source Localisation of Acoustic Signals
