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.


Lead investigators

Research staff



PhD students

Hui-Lin ChengHui-Lin Cheng

Jamal EsmaelpoorJamal Esmaelpoor
(University of Melbourne & Bionics Institute)

Kaichao WuKaichao Wu
(RMIT University & Shantou University)

Robert Chi Sang Choy
(RMIT University & Shantou University)

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.

Examples of signal alignment problems

Sensor management

Examples of sensor management problems

Rotating synthetic aperture radar (RoSAR)

Illustration of rotating synthetic aperture radar

Ongoing work

For more information on some of our current work please visit research pages of: