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Socio-Economic Objective : Information processing services
Research Topic : SIGNAL
Australian State/Territory : NSW
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  • Funded Activity

    Discovery Projects - Grant ID: DP1094498

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    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.
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    Funded Activity

    Research Networks - Grant ID: RN0459979

    Funder
    Australian Research Council
    Funding Amount
    $2,250,000.00
    Summary
    ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te .... ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0664365

    Funder
    Australian Research Council
    Funding Amount
    $250,515.00
    Summary
    Space-time and time-frequency applications of improper complex processes. This project addresses an issue of fundamental importance to many areas in science and engineering. It is thus expected that the results will be disseminated in high-quality journals and receive widespread attention and recognition. This will advance Australia's research profile in the world. The project can also be expected to have an immediate impact on the design of next generation communications technologies, thus aid .... Space-time and time-frequency applications of improper complex processes. This project addresses an issue of fundamental importance to many areas in science and engineering. It is thus expected that the results will be disseminated in high-quality journals and receive widespread attention and recognition. This will advance Australia's research profile in the world. The project can also be expected to have an immediate impact on the design of next generation communications technologies, thus aiding Australian industries in the development of frontier technologies. Australia will also benefit economically and socially by the specialised engineers and researchers in signal processing and communications that will be trained in the course of this project.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452630

    Funder
    Australian Research Council
    Funding Amount
    $308,000.00
    Summary
    Robust Positioning Based on Ultra-Tight Integration of GPS, Pseudolites and Inertial Sensors. The Global Positioning System (GPS) has been becoming an increasingly important part of the world-wide geo-spatial information infrastructure. However, the availability and reliability of GPS positioning are still major challenging issues. This project proposes a new concept of robust positioning based on the ultra-tight integration of GPS, pseudolites and inertial sensor. The expected outcomes include: .... Robust Positioning Based on Ultra-Tight Integration of GPS, Pseudolites and Inertial Sensors. The Global Positioning System (GPS) has been becoming an increasingly important part of the world-wide geo-spatial information infrastructure. However, the availability and reliability of GPS positioning are still major challenging issues. This project proposes a new concept of robust positioning based on the ultra-tight integration of GPS, pseudolites and inertial sensor. The expected outcomes include: 1) a novel sensor integration approach, 2) innovative smart antenna design, 3) efficient algorithms and quality control procedures for signal acquisition and tracking, which can effectively suppress interferences and enhance the weak signal tracking.
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    Funded Activity

    Discovery Projects - Grant ID: DP0772004

    Funder
    Australian Research Council
    Funding Amount
    $277,000.00
    Summary
    Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically .... Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically-generated transcript of the audio events, tagged with metadata. The application of these technologies will create new possibilities for recording audio in the music, radio, TV industries, and future home based audio communication systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0986391

    Funder
    Australian Research Council
    Funding Amount
    $260,000.00
    Summary
    Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and ra .... Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and radar. Employing techniques to be developed in this proposal, we expect to be able to classify and detect features of non-stationary data that were unrecognisable using hitherto known methods.
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    Showing 1-6 of 6 Funded Activites

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