P1. An Extension to the Frenet-Serret and Bishop Invariant Extended Kalman Filters for tracking accelerating targets, Joe Gibbs1 , David Anderson1 , Matt MacDonald 2 , John Russell 2 , 1 James Watt School of Engineering, University of Glasgow, 2 Sightline Control Group, Leonardo. See Video
P2. Joint Undervolting and Overclocking Power Scaling Approximation on FPGA, Yun Wu, Joao F. C. Mota, Andrew M. Wallace, Heriot-Watt University. See Video
P3. State Estimation of the Spread of COVID-19 in Saudi Arabia using Extended Kalman Filter, Lamia Alyami and Saptarshi Das, University of Exeter. See Video
P4. Optimal Bernoulli Point Estimation with Applications, Alexey Narykov, Murat Üney and Jason F. Ralph, University of Liverpool. See Video
P5. High Resolution DOA Estimation for Contiguous Target with Large Power Difference, Murtiza Ali and Karan Nathwani, Indian Institute of Technology. See Video
P6. Compressive Self-Noise Cancellation in Underwater Acoustics, Pawan Kumar1, Karan Nathwani1, Vinayak Abrol2, Suresh Kumar3, 1IIT Jammu, 2IIIT Delhi, 3NPOL Kochi. See Video
P7. Non-Coherent Discrete Chirp Fourier Transform for Modulated LFM Parameter Estimation, Kaiyu Zhang, Fraser K. Coutts, and John Thompson, University of Edinburgh, Edinburgh. See Video
P8. Unsupervised Expectation Propagation Method for Large-Scale Sparse Linear Inverse, Dan Yao, Stephen McLaughlin, Yoann Altmann, Heriot-Watt University. See Video
P9. Movement Classification and Segmentation Using Event-Based Sensing and Spiking, Paul Kirkland, Gaetano Di Caterina, University of Strathclyde. See Video
P10. Enhanced Space-Time Covariance Estimation Based on a System Identification, Faizan A. Khattak, Ian K. Proudler, Stefan Weiss, University of Strathclyde. See Video
If you have any questions during the poster session on the 13th September you can ask your questions on sli-do:
