Welcome Slides

Summer School introduction and welcome

Statistical Signal Processing

• Probability, Random Variables and Signals, and Classical Estimation Theory, James Hopgood, University of Edinburgh
  • associated videos
• Decision Theory, Joao Mota, Heriot-Watt University
• Expectation Propagation for Scalable Inverse Problems in Imaging, Dan Yao, Heriot-Watt University

Source Separation and Beamforming

• Source Separation and Beamforming Background, Ian K Proudler, University of Strathclyde
• Introduction to Array Processing, Stephan Weiss, University of Strathclyde
• Introduction to Polynomial Matrix Algebra and Applications, Stephan Weiss and Ian K. Proudler, University of Strathclyde

Tracking and Sensing

• Multi-Sensor Tracking and Data Fusion, David Cormack, Leonardo
• State estimation and tracking, Jordi Barr, Dstl; James Wright, Dstl; Lyudmil Vladimirov, University of Liverpool; David Cormack, Leonardo;  
  • Please note that the tutorials referred to in the slides can be found here https://stonesoup.readthedocs.io/en/v0.1b9/auto_tutorials/index.html and https://stonesoup.readthedocs.io/en/v0.1b9/auto_examples/index.html

Machine Learning

• Deep Learning III: Data Woes, Henry Gouk, UNiversity of Edinburgh