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Scheme : Discovery Projects
Field of Research : Digital Systems
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  • Researchers (21)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0556174

    Funder
    Australian Research Council
    Funding Amount
    $403,000.00
    Summary
    Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The telecommunications industries, on the other hand, benefit from the signal processing and communicat .... Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The telecommunications industries, on the other hand, benefit from the signal processing and communications aspects. We also build a core expertise in optimisation and its applications in Australia by training PhD students and Postdoctoral researchers. The research collaborations will cement and maintain the international linkages which will improve applied research in Australia
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    Funded Activity

    Discovery Projects - Grant ID: DP0557429

    Funder
    Australian Research Council
    Funding Amount
    $197,000.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP0345189

    Funder
    Australian Research Council
    Funding Amount
    $587,275.00
    Summary
    Stochastic Construction of Error Correcting Codes with Application to Digital Communications. Modern society would be unrecognisable without error correcting codes; mobile telephones, storage devices such as DVD's and high speed data communications simply would not exist. Yet most theoretical results on error correcting codes are asymptotic in nature and ignore computational complexity issues, that is, they are not representative of many real life situations. By building on recent breakthrough .... Stochastic Construction of Error Correcting Codes with Application to Digital Communications. Modern society would be unrecognisable without error correcting codes; mobile telephones, storage devices such as DVD's and high speed data communications simply would not exist. Yet most theoretical results on error correcting codes are asymptotic in nature and ignore computational complexity issues, that is, they are not representative of many real life situations. By building on recent breakthroughs in statistics and stochastic optimisation, this project will develop algorithms for designing optimised error correcting codes subject to realistic finite data length and computational complexity constraints. Successful outcomes will lead to enhanced data communications and storage, greatly benefiting industry and consumers alike.
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    Funded Activity

    Discovery Projects - Grant ID: DP0346430

    Funder
    Australian Research Council
    Funding Amount
    $172,536.00
    Summary
    Adaptive Multi-user Detectors for Mobile Space-Time Communications Systems over Time Variable Fading Channels. High capacity wire-line internet access (~ 1 Mbit/s) is available through existing telephone lines or through the cable TV infrastructure. The need to have the same quality wireless and mobile internet access is becoming evident. The full deployment of the mobile internet might be delayed due to the low capacity of existing cellular mobile communications systems. This research project w .... Adaptive Multi-user Detectors for Mobile Space-Time Communications Systems over Time Variable Fading Channels. High capacity wire-line internet access (~ 1 Mbit/s) is available through existing telephone lines or through the cable TV infrastructure. The need to have the same quality wireless and mobile internet access is becoming evident. The full deployment of the mobile internet might be delayed due to the low capacity of existing cellular mobile communications systems. This research project will contribute to the understanding of fundamental capacity limitations of the mobile communications concept over communication channels that vary with time. The outcomes of the project will suggest possible solutions to the capacity limitations.
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    Funded Activity

    Discovery Projects - Grant ID: DP0664117

    Funder
    Australian Research Council
    Funding Amount
    $396,000.00
    Summary
    Reliable Truly Deep Sub-micron VLSI Computational Systems. The phenomenal growth of the digital integrated circuits is founded on the fundamental assumption of reliable operation of logic gates on silicon chip. In the Deep Sub-Micron domain this fundamental assumption can no longer be guaranteed. This project, in association with with Dongshin University, Korea with strong links to the semiconductor industry, will develop design techniques for the reliable computational hardware, in the presence .... Reliable Truly Deep Sub-micron VLSI Computational Systems. The phenomenal growth of the digital integrated circuits is founded on the fundamental assumption of reliable operation of logic gates on silicon chip. In the Deep Sub-Micron domain this fundamental assumption can no longer be guaranteed. This project, in association with with Dongshin University, Korea with strong links to the semiconductor industry, will develop design techniques for the reliable computational hardware, in the presence of unreliable circuit fabric. This significant research, with potential for generation of IP, will raise the profile of Australian research in integrated circuits design in the global community and will result in significant publicity for the research team and, through them, for Australian industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211849

    Funder
    Australian Research Council
    Funding Amount
    $159,000.00
    Summary
    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.
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