Dr Beth Jelfs
Assistant Professor
Staff profile for Dr Beth Jelfs.
Signal Processing
Signal processing is a fundamental driving force in many modern sensor technologies and applications. It is the bridge that links the sensory information with obtaining meaningful answers such as detection, tracking, classification or action planning.
We in MISL have a wide range of expertise covering all aspects of signal and image processing. Examples include signal alignment for time delay estimation and image registration; modelling and analysing dynamic, non-stationary systems and phenomena; radar signal processing and radar image formation; sensor management for scheduling and path planning tasks; sparse parameter estimation for signal and image reconstruction.
Our Team
Lead investigators
Dr Christopher Gilliam
Assistant Professor in Applied Signal Processing
Profile of Dr Christopher Gilliam, Electronic, Electrical and Systems Engineering, University of Birmingham
Professor Marco Martorella
Chair in RF and Space Sensing
Staff profile for Professor Marco Martorella.
Professor Marina Gashinova
Chair in Pervasive Sensing
Professor Gashinova's broad area of research interests includes bistatic radars, signal processing, theoretical modelling in propagation and numerical techniques for microwave structures modelling and design.
Professor Michail Antoniou
Chair in RF Sensing Systems
Profile of Dr Michail Antoniou, Electronic, Electrical and Systems Engineering, University of Birmingham
PhD students
PhD students
Hui-Lin Cheng
Jamal Esmaelpoor (University of Melbourne & Bionics Institute)
Kaichao Wu (RMIT University & Shantou University)
Robert Chi Sang Choy (RMIT University & Shantou University)
Signal alignment
Signal alignment
The estimation of a geometric transformation that aligns two or more signals is a problem that has many applications in signal processing. The problem occurs when signals are either recorded from two or more spatially separated sensors or when a single sensor is recording a time-varying scene. Examples of fundamental tasks that involve this problem are shown in the figure below. In this project we estimate the transformation between these signals using a novel local all-pass (LAP) filtering framework.
Sensor management
Sensor management
Rotating synthetic aperture radar (RoSAR)
Rotating synthetic aperture radar (RoSAR)
Ongoing work
Ongoing work
For more information on some of our current work please visit research pages of: