Student research opportunities
Signal Processing for Compressed Sensing
Project Code: CECS_114
This project is available at the following levels:
Engn4200, Engn R&D, Honours, PhD
Keywords:
Signal Processing, Compressed Sensing
Supervisor:
Dr Mark ReedOutline:
Compressed Sensing is a relatively new techniques which have significant application to signal processing. This project will investigate these techniques and look at ways of applying them to problems in communications and signal processing in general.
Goals of this project
To develop a deep and detailed understanding of the techniques of compressed sensing, knowing their limitations and benefits of application. To develop a simulation platform and the associated analysis to demonstrate the techniques.
Requirements/Prerequisites
The candidate should have a strong mathematical background and excellent programming skills.
Student Gain
The student will gain insight and deep knowledge into the application of modern signal processing methods and the application of them to defined problems.
