Projects
System Identification Toolbox
This toolbox is a MATLAB-based software package for the estimation of dynamic systems.A wide range of standard estimation approaches are supported. These include the use of non-parametric, subspace-based and prediction-error algorithms coupled (in the latter case) with either MIMO state space or MISO polynomial model structures.
Additionally, some new approaches are included. These include the support for bilinear and other Hammerstein-Wiener non-linear structures, and the use of the expectation-maximisation (EM) algorithm for time and frequency domain estimation of state space structures.
MIMO Communications Testbed
This is a hardware device designed to be used in the design and testing of wireless MIMO communications systems. It is connected to a PC via USB 2.0 or ethernet and uses an on-board FPGA to allow implementation of algorithms in logic, together with provision for multiple radio modules.Team Members:
Prof. Brett Ninness, Dale Bates, Ian Griffiths, Soren Henriksen, Alan Murray, A/Prof. Steve Weller, Geoff Knagge
Model Predictive Control
This project is concerned with development of algorithms and hardware for high-speed model predictive control (MPC) solutions. Both linear and nonlinear MPC systems are considered.Sub-Projects
Future Wireless
Orthgonal Frequency Division Multiplexing (OFDM) is core to emerging and future wireless systems. Of note, 802.16, 802.20 and 3GPP LTE all depend upon OFDM. The goal of this project is to generate core expertise in this area, publish in leading conferences and journals while securing valuable IP for the project participants. Numerous ASIC prototypes will result.Sub-Projects
QPC - Quadratic Programming in C
This project offers a collection of software routines for solving quadratic programming problems that can be written in this formThe routines are written in C and callable from Matlab using the standard syntax. State-of-the-art solvers are available.
x* = arg min 0.5x'Hx + f'x convex cost
s.t. Ax = b, linear equality constraints,
Lx <= k, general linear inequality constraints,
l <= x <= u, bound constraints.
System Identification
Theoretical and empirical study of various problems in system identification. Particular attention is paid to robust estimation of Multivariable and Nonlinear systems, and to error quantification.Sub-Projects
LDPC Codes
This project investigates the design and decoding of low-density parity-check (LDPC) codes and a related class of codes called repeat-accumulate (RA) codes. This project includes an online implementation of density evolution and offers resources related to LDPC and RA codes.Team Members:
Dr. Sarah Johnson, Dr. Björn Rüffer, Dr. Chris Kellett, A/Prof. Steve Weller, David Hayes
Nonlinear Systems Analysis and Design
Dynamical systems are ubiquitous, describing many natural and mechanical systems and even numerical and computer algorithms. The aim of this project is to develop novel tools for the analysis and design of nonlinear dynamical systems.
Algorithms to ASICs
These projects are focussed on providing software solutions to assist the mapping of algorithmic solutions to actual implementations in hardware devices. This includes bit accurate modelling of numerical systems in limited precision, analysis of those simulations, and generation of test data for verification with hardware implementations in ASICs and FPGAs.Sub-Projects
Filtering and Smoothing
This project offers a suite of software routines that run under Matlab, which perform various signal filtering and smoothing operations. This includes standard Kalman filtering and Kalman smoothing routines.
Variance Quantification
This project develops quantifications for the frequency domain variance of prediction error system estimates. A key theme is to derive new approximations offering improved accuracy via the principles of reproducing kernel principles and orthonormal parametrizations.Team Members:
Prof. Brett Ninness