Resource-aware Signal Processing and Control Algorithms for Networked Sensor Systems. Networked sensing and control is an important technology for Australia's future. Applications range from monitoring wildlife habitats to safety management of large civil structures. This project will lead to sustainable engineering solutions for these applications and provide key fundamental performance limits. Beyond the creation of new theory and algorithms, the national and community benefits will include: ....Resource-aware Signal Processing and Control Algorithms for Networked Sensor Systems. Networked sensing and control is an important technology for Australia's future. Applications range from monitoring wildlife habitats to safety management of large civil structures. This project will lead to sustainable engineering solutions for these applications and provide key fundamental performance limits. Beyond the creation of new theory and algorithms, the national and community benefits will include: (i) enhancement of Australia's reputation for innovative Engineering research through quality publications and international collaborations; and (ii) improvement of the research and development capability in the ICT sector through rigorous training of postgraduate students and postdoctoral fellows.Read moreRead less
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
Modelling and estimation methods for discrete multi-dimensional systems. Multi-dimensional signal processing plays a role in a variety of application areas, ranging from remote sensing for environmental monitoring and geological mapping, to medical imaging and the automatic control of industrial processes. The success of the project will provide mathematical tools for the advancement of the state-of-the-art in these broad areas.
Modelling, Analysis and Synthesis Tools for Multi-Dimensional Signal Processing Systems. Multi-dimensional signal processing plays a role in a variety of application areas, ranging from remote sensing for environmental monitoring and geological mapping, to medical imaging and the automatic control of industrial processes. The success of this project will provide mathematical tools for the advancement of the state-of-the-art in these broad areas.
Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to ....Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to solve inverse problems is expected to advance technology toward lower power, lower cost solutions for MRI scanners in healthcare and industrial applications, including materials science and mineral processing.Read moreRead less
Next-Generation OFDM Communication Systems: Analysis and Design for the Physical Layer. Next-generation orthogonal frequency-division multiplexed (OFDM) systems represent the future of broadband wireless access technology. Such systems are vital to Australia's future infrastructure and growing economy by providing more bandwidth with greater flexibility for new broadband applications. The research outcomes from this project will help enable future OFDM systems, and thus directly benefit Austra ....Next-Generation OFDM Communication Systems: Analysis and Design for the Physical Layer. Next-generation orthogonal frequency-division multiplexed (OFDM) systems represent the future of broadband wireless access technology. Such systems are vital to Australia's future infrastructure and growing economy by providing more bandwidth with greater flexibility for new broadband applications. The research outcomes from this project will help enable future OFDM systems, and thus directly benefit Australia. Development of cutting-edge information technology know-how will enhance Australia's international ICT reputation. Valuable research training of highly-skilled Australian students is another important benefit.Read moreRead less
The Time-Varying Eigenvalue Problem with Application to Signal Processing and Control. Linear models are ubiquitous in representing physical processes. Decomposing a linear model into its fundamental components is known as the eigenvalue problem. In applications as wide ranging as astronomy, aircraft control systems, Internet search engines and communication systems, it is necessary to perform this decomposition of a pertinent time varying linear model on the fly. This project aims to develop si ....The Time-Varying Eigenvalue Problem with Application to Signal Processing and Control. Linear models are ubiquitous in representing physical processes. Decomposing a linear model into its fundamental components is known as the eigenvalue problem. In applications as wide ranging as astronomy, aircraft control systems, Internet search engines and communication systems, it is necessary to perform this decomposition of a pertinent time varying linear model on the fly. This project aims to develop significantly faster and more accurate algorithms for this time varying eigenvalue problem than currently exist. Very modern techniques will be employed to achieve this aim, and the potential benefits to Australian hi-tech industries are great.
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Trustworthy Sensor Networks: Theory and Implementation. The fundamental importance of this project is that we are developing algorithms for wireless sensor networks (WSNs) that provide accurate and trustworthy data to Australian researchers and users, so that they have confidence in the analysis of their data. The algorithms developed in this proposal will become essential for any large scale WSN. The research significantly leverages the resources of our international partners who complement our ....Trustworthy Sensor Networks: Theory and Implementation. The fundamental importance of this project is that we are developing algorithms for wireless sensor networks (WSNs) that provide accurate and trustworthy data to Australian researchers and users, so that they have confidence in the analysis of their data. The algorithms developed in this proposal will become essential for any large scale WSN. The research significantly leverages the resources of our international partners who complement our work with several million dollars of investment. The result will put Australia on the international stage as a significant contributor to WSN technologies. By training PhD students, the project will also enrich local expertise in the technologies.Read moreRead less
Advanced Sonar Sensing for Robotics. Robotics research is heavily dependent on fast, accurate, reliable and cheap sensors. Sonar sensing can fulfil these requirements in air and underwater environments. This project will advance this sensor technology by providing sonar with high-speed accurate measurement and classification capabilities that function on moving platforms. The sonar will adapt and monitor differing environmental conditions allowing the sensor data to be integrated better with ....Advanced Sonar Sensing for Robotics. Robotics research is heavily dependent on fast, accurate, reliable and cheap sensors. Sonar sensing can fulfil these requirements in air and underwater environments. This project will advance this sensor technology by providing sonar with high-speed accurate measurement and classification capabilities that function on moving platforms. The sonar will adapt and monitor differing environmental conditions allowing the sensor data to be integrated better with other sensors, such as laser and stereo vision. Interference rejection will be incorporated that will allow the sensor to operate in conjunction with other sonar. Applications of the technology will be robotic mapping, localisation, navigation and exploration.Read moreRead less
Blind Signal Separation from Unidentifiable Systems. This project will contribute to the designated national research priority goal on frontier Information and Communications Technology. The outcomes of the project will advance the theory of signal processing and enable performance improvement of a wide range of hi-tech applications. This project will enhance Australia's research reputation and competitiveness, promote the understanding and applications of advanced signal processing techniques i ....Blind Signal Separation from Unidentifiable Systems. This project will contribute to the designated national research priority goal on frontier Information and Communications Technology. The outcomes of the project will advance the theory of signal processing and enable performance improvement of a wide range of hi-tech applications. This project will enhance Australia's research reputation and competitiveness, promote the understanding and applications of advanced signal processing techniques in local industries, and provide excellent training opportunity for PhD and Honours students.Read moreRead less