Zach Prinsloo
Contact
zach.prinsloo@student.unimelb.edu.au
Building 193, Level 3, 315.13
Thesis title
Radio-Frequency Signal Separation
Research overview
This research will focus on criteria for separating stochastic radio-frequency signals. A natural separation criterion would utilise the probability laws that govern the behaviour of the signals of interest. In general, it is not possible to determine exactly the probability laws of the signals of interest. Instead, we seek to separate signals into families parametrised by certain statistical properties. Cyclostationarity is the primary statistical property of interest, but there are other sensible ways to separate signals. A closely related problem is to decide which criterion yields the most useful partitioning of a given set of source signals.
Supervisors
Discipline
Qualifications
Honours and Bachelor of Mathematics from The University of Adelaide