Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties ....Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties of the algorithms via intelligent processing. In this light the project also lies within the ARC research priority area of "Smart Information use".Read moreRead less
Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, display ....Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, displaying strong interactions within certain clusters of states and weak interactions among these clusters. By utilizing this property, the proposed project will design and analyze novel reduced-complexity signal processing and control algorithms with rigorous performance guarantees. In addition, this project will explore possibilities of making these algorithms hierarchical such that they are easy to implement through decentralization.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
Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as ....Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as Hidden Markov Models and Jump Markov Linear Systems. It focuses on the design and analysis of stochastic control algorithms such as dynamic programming and simulation based randomized methods. The research will lead to an integrated theory incorporating stochastic control, statistical signal processing and combinatorial optimization. We will also apply the resulting techniques to tracking maneuvering targets given noisy observations.Read moreRead less
Microfabrication of integrated silicon optical cross-switches interfaced with silica optical waveguides. Project aims to fabricate novel silicon based optical switches in the form of cantilevered mirrors integrated to interface with silica optical waveguides integrated collimation lens. Significantly, it paves the way for low cost integration of optical switches with array waveguides for an all-optical dynamically reconfigurable dense wavelength division multiplexing network used in modern broad ....Microfabrication of integrated silicon optical cross-switches interfaced with silica optical waveguides. Project aims to fabricate novel silicon based optical switches in the form of cantilevered mirrors integrated to interface with silica optical waveguides integrated collimation lens. Significantly, it paves the way for low cost integration of optical switches with array waveguides for an all-optical dynamically reconfigurable dense wavelength division multiplexing network used in modern broadband telecommunication systems. International market demand for such devises is enormous. Expected outcomes include the development of arrays of low loss 2x2 integrated optical waveguide cross-switches prototypes, securing the intellectual property rights and disseminating the work internationally.Read moreRead less
New Methods and Microelectronics for Wireless Communication Systems. Global demand for high quality wireless communications poses significant challenges. The so-called "physical layer" is crucial, as this is where the vagaries of the wireless channel, including interference and limited bandwidth, are mitigated by sophisticated signal processing.
This project will conduct applied research to meet these physical layer challenges, providing solutions that feed directly into next generation wirel ....New Methods and Microelectronics for Wireless Communication Systems. Global demand for high quality wireless communications poses significant challenges. The so-called "physical layer" is crucial, as this is where the vagaries of the wireless channel, including interference and limited bandwidth, are mitigated by sophisticated signal processing.
This project will conduct applied research to meet these physical layer challenges, providing solutions that feed directly into next generation wireless communication systems.
Uniquely, this project focuses on the transfer of research from theoretical genesis, through to realisation of silicon integrated
circuit "chips". This will maximise both the impact of the research
and the potential for significant national economic benefits to accrue.Read moreRead less
System Theoretical Aspects of Spatial Signal Processing. The aims of the project is to gain better understanding of spatial characteristics of wireless communication channels; and to apply spatial signal processing theory to design receivers for wireless systems. The expected outcomes of the projects are new system theory for spatial signal processing, a new spatial model to characterize wireless communication channels, categorize a relationship between scattering environment antenna spacing and ....System Theoretical Aspects of Spatial Signal Processing. The aims of the project is to gain better understanding of spatial characteristics of wireless communication channels; and to apply spatial signal processing theory to design receivers for wireless systems. The expected outcomes of the projects are new system theory for spatial signal processing, a new spatial model to characterize wireless communication channels, categorize a relationship between scattering environment antenna spacing and multi-element antenna system capacity, and novel use of multiple antennas to improve the performance of wireless systems. Success in this investigation could have wide applications in the development of future mobile and fixed wireless communication systems.Read moreRead less
Overcoming Transistor Performance Issues for Emerging Millimetre-Wave Applications. The operation of transistors for emerging millimeter-wave applications, such as point to point communications and automotive radar, will be researched. The aim is to develop circuit design methodologies that extract better performance from a given fabrication process, thus giving a competitive advantage to local industry, which shares the process with other international companies. Transistor operating range, lin ....Overcoming Transistor Performance Issues for Emerging Millimetre-Wave Applications. The operation of transistors for emerging millimeter-wave applications, such as point to point communications and automotive radar, will be researched. The aim is to develop circuit design methodologies that extract better performance from a given fabrication process, thus giving a competitive advantage to local industry, which shares the process with other international companies. Transistor operating range, linearity and characterisation will be enhanced. New models and demonstrator circuits will be produced. The project will skill postgraduates in microwave theory and techniques applied to the development of high performance circuits.Read moreRead less
Efficient signal processing using short word-length techniques. It is expected that the research will lead to significant reductions in cost and computational overheads for signal processing systems in general. These cost/speed enhancements have implications for radar, communications, audio, speech, video, aerospace, defence and biomedical engineering. In the last few decades, developments in enhancing the speed of processing signals has been clearly seen to impinge greatly on the lives of all c ....Efficient signal processing using short word-length techniques. It is expected that the research will lead to significant reductions in cost and computational overheads for signal processing systems in general. These cost/speed enhancements have implications for radar, communications, audio, speech, video, aerospace, defence and biomedical engineering. In the last few decades, developments in enhancing the speed of processing signals has been clearly seen to impinge greatly on the lives of all citizens and so positive outcomes from the research can be expected to translate into increased quality of life for the whole country.Read moreRead less
Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a la ....Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a large proportion of missing observations. This will contribute to a conceptual advancement in the field of signal processing and will provide new methods for use in applications such as radar, astrophysics, seismology, vibration analysis and communications.Read moreRead less