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We have 122 signal processing PhD Projects, Programmes & Scholarships

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signal processing PhD Projects, Programmes & Scholarships

We have 122 signal processing PhD Projects, Programmes & Scholarships

Robust Computational Methods for High-Dimensional Imaging

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches.   The project is funded for 3.5 years for international students and a ~£17K annual stipend. Read more

Using Brain Computer Interface to Improve Cognitive Performance

Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more

Multi-Sensor Data Fusion and Smart Decision Making

Future intelligent systems will involve the deployment of large-scale sensor networks in which hundreds or thousands of microsensors, unexpensive, small and lightweight devices with integrated sensing, computing, communication and possibly actuation capabilities will work together to achieve a common mission-specific task. Read more

CDT-QTE: Quantum Sensor Network

Supervisory Team: Dr Bruce Ou, Dr Alberto Politi, Prof Jize Yan . Project description. This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

Robust perception, decision making and path prediction for autonomous vehicles

Development of autonomous vehicles are seeing a grown in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

Robust perception, decision making and path prediction for autonomous vehicles

 . Development of autonomous vehicles are seeing a grown in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

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