Classification & Multi-modal Processing Theme

  1. [C5] Real-Time Multi-Modal Person Tracking
  2. [I2] Early Auditory-Visual Integration for Transient Detection
  3. [I6] Wave Wakes
  4. [O01] Locally Invariant Signal Processing to Discriminate Between Key Man-made and Natural Features
  5. [O03] Hamiltonian-based data clustering and classification
  6. [O04] Advanced High Resolution Methods for Radar Imaging and Micro-Doppler Signature Extraction
  7. [O11] Multimodal Blind Source Separation for Robot Audition
  8. [O16] Target Detetction in Clutter for Sonar Imagery
  9. [O17] Target Classification And Tracking Using Acoustic Micro-Doppler Signatures

Super-Resolution Source Separation Theme

  1. [C1] Auto-Calibration
  2. [C2] Arrayed MIMO RADAR
  3. [C4] Low SWAP Target Localisation and Spatiotemporal Beamforming
  4. [I4] Multi-Beam SAR
  5. [O06] Source Separation for Electronic Surveillance
  6. [O07] Signal Processing Techniques to Reduce the Clutter Competition in Forward Looking Radar
  7. [O09] Low-Complexity Adaptive Beamforming Algorithms Based on Low-Rank Decompositions and Set-Membership Filtering
  8. [O10] SAR processing with zeros
  9. [O13] Joint Blind Enhancement and Passive Source Localisation of Acoustic Signals

Distributed Signal Processing Theme

  1. [O02] Generic Distributed Target Tracking Algorithms in Sensor Networks
  2. [O05] Cooperative Localisation: Distributed Optimisation with Hypothesis Testing
  3. [O08] Distributed Signal Processing for Distributed Sensor Networks
  4. [O14] Distributed and Iterative Processing for Wireless Sensor Networks with Multiple Local Fusion Centres
  5. [O15] Scalable Information Fusion: Adaptivity for Complex Environments and Secure Data

Non-Conventional Signals Theme

  1. [C3] Widely Linear Adaptive Processing of Noncircular Complex Signals
  2. [C6] Flexible Array Signal Processing
  3. [I3] Extracting tones which vary in frequency from non Gaussian noise
  4. [I5] Synthetic Noise
  5. [O12] Real Time Model Adaptation for Non-Stationary Systems