Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant wea ....Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant weaknesses. We will deliver considerable improvements in monitoring capability by developing the technology for using a network of small phased array radars. We aim to place monitoring resources where end-user needs are greatest.Read moreRead less
Analysis and Design of Multi-objective Optimal Multirate Filter Banks. Multirate filter banks are a fundamental subsystem and play a key role in many applications in information technology, such as digital communications and digital audio and video signal processing. Most of the existing design methods of multirate filter banks are based on idealized operation conditions, so often they do not provide practically desirable performance. This project will develop innovative design methods for multi ....Analysis and Design of Multi-objective Optimal Multirate Filter Banks. Multirate filter banks are a fundamental subsystem and play a key role in many applications in information technology, such as digital communications and digital audio and video signal processing. Most of the existing design methods of multirate filter banks are based on idealized operation conditions, so often they do not provide practically desirable performance. This project will develop innovative design methods for multirate filter banks under the worst operational conditions and multiple conflicting design objectives. The results will fill in the gap between the theoretical design and the practical requirements to provide enhanced performance of systems using multirate filter banks.Read moreRead less
Breathing and snoring sound analysis in sleep apnea. About 800,000 Australians suffer from the disease sleep Apnoea (OSA) which has snoring as its earliest symptom. We develop electronics and snore processing algorithms to classify snorers into OSA-positive and OSA-negative classes, based on advanced technology derived from speech recognition systems.
Optimisation-based analysis and synthesis of sparse systems in signal processing and communication. This project will make onceptual advances in the areas of signal processing and communication. A major benefit of this project will be its direct applications to digital industry - perhaps the major electrical industry of our era. The project will also aim to build a world class research activity at the University of New South Wales to focus attention on low-cost signal processing and communicatio ....Optimisation-based analysis and synthesis of sparse systems in signal processing and communication. This project will make onceptual advances in the areas of signal processing and communication. A major benefit of this project will be its direct applications to digital industry - perhaps the major electrical industry of our era. The project will also aim to build a world class research activity at the University of New South Wales to focus attention on low-cost signal processing and communication, increase capacity for contract research, enhance nternational collaboration with leading researchers in the area, and produce quality PhD graduates in the field of signal processing and communication.Read moreRead less
Vector quantization approaches to nonlinear stochastic estimation. Many problems in health, economics, telecommunications and industrial control can be formulated as estimation problems with uncertain data. This project is aimed at developing a novel class of algorithms aimed at high complexity estimation problems. If successful, the project will provide new approaches to these problems.
Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage fro ....Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage from tailings dams, and more precise mapping of dryland salinity. The project also aims to develop a method to calibrate AEM systems, leading to more accurate environmental mapping and significant long-term economic benefits.Read moreRead less
Joint modelling and recognition of linguistic and paralinguistic speech information. A new modelling framework will be developed exploiting interdependence between linguistic and paralinguistic cues to improve automatic recognition of emotion-related information. Applications in the high-tech industry include automatic routing of angry telephone customers or pre-suicidal crisis centre callers to specialist operators/clinicians.
Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, ....Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, potentially leading to a complete system failure during mass deployment. This project will conduct fundamental research intended to enable dynamic spectrum accessing in automobile radars and redesign the radar systems in the form of sequence and waveform designs to suit requirements.Read moreRead less
Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with ....Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with performance prediction, robust control, and effective implementation. In many practical applications, especially in consumer electronics and medical instruments, the creation of quiet zones is desirable so that in a shared environment people can have their own audio space without physical isolation or using headphones, creating a healthy living and working environment.Read moreRead less
Nonlinear Signal Processing: Optimisation and Tracking on Manifolds. Most hi-tech electronic devices must process signals. A mobile phone, for example, must encode, transmit, decode and receive voice signals. This project will use specialised mathematical theories applied in novel ways to advance the theoretical foundations of signal processing and develop better signal processing algorithms for practical applications. Companies with access to better signal processing algorithms have an edge ov ....Nonlinear Signal Processing: Optimisation and Tracking on Manifolds. Most hi-tech electronic devices must process signals. A mobile phone, for example, must encode, transmit, decode and receive voice signals. This project will use specialised mathematical theories applied in novel ways to advance the theoretical foundations of signal processing and develop better signal processing algorithms for practical applications. Companies with access to better signal processing algorithms have an edge over their competitors, and consumers benefit too from better and more advanced products.Read moreRead less