Adaptive Modulation For OFDM Signals. The sub band Signal To Noise Ratio in an OFDM communications channel varies by as much as 30 dB. In order to optimise the bandwidth efficiency of OFDM signalling it is desirable to adapt the chosen modulation technique such as M-ary QAM to the SNR available in sub bands. In this way high quality channels transmit the highest bit rates, whilst low quality channels accommodate the lowest bit rates. The net result is that the capacity of the communications link ....Adaptive Modulation For OFDM Signals. The sub band Signal To Noise Ratio in an OFDM communications channel varies by as much as 30 dB. In order to optimise the bandwidth efficiency of OFDM signalling it is desirable to adapt the chosen modulation technique such as M-ary QAM to the SNR available in sub bands. In this way high quality channels transmit the highest bit rates, whilst low quality channels accommodate the lowest bit rates. The net result is that the capacity of the communications link does not have to be limited by designing for worst case conditions.Read moreRead less
Optimal Waveform Design and Compensation Techniques for Non Linear Communication Channels. Distortion effects in satellite amplifiers have a serious impact upon communication system performance, for example, by increasing the error rates.
The research study we are proposing involves analysing these distortion causing non linear effects and designing techniques to compensate for them. Although we are initially interested in the nonlinear satellite channel, we intend the results to be extended t ....Optimal Waveform Design and Compensation Techniques for Non Linear Communication Channels. Distortion effects in satellite amplifiers have a serious impact upon communication system performance, for example, by increasing the error rates.
The research study we are proposing involves analysing these distortion causing non linear effects and designing techniques to compensate for them. Although we are initially interested in the nonlinear satellite channel, we intend the results to be extended to other difficult nonlinear channels such as will be present in future 3G and 4G mobile communication systems.
The proposed research will place Australia at the forefront of cutting edge Information Technology and Communications research.
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High Bandwidth Efficient Schemes for Portable Multimedia Communications. The introduction of multimedia services for mobile users has resulted in a shortage of satellite spectrum. Spot beam technology is used to provide service in areas of high user density. Adjacent overlapping beams are allocated different frequency bands, however interference from neighbouring beams limits capacity. Multi-User Detection is a technology capable of significantly increasing capacity by frequency re-use in adj ....High Bandwidth Efficient Schemes for Portable Multimedia Communications. The introduction of multimedia services for mobile users has resulted in a shortage of satellite spectrum. Spot beam technology is used to provide service in areas of high user density. Adjacent overlapping beams are allocated different frequency bands, however interference from neighbouring beams limits capacity. Multi-User Detection is a technology capable of significantly increasing capacity by frequency re-use in adjacent spot beams. The aim of this project is to investigate receiver design for multi-user spot-beam channels and develop associated synchronisation and channel estimation methods. The outcome will be efficient communications systems supporting higher user populations, without increasing the bandwidth required.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561231
Funder
Australian Research Council
Funding Amount
$671,715.00
Summary
MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools acc ....MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools accessible through the Internet will enable researchers to archive, retrieve and exchange data and software; access distributed MR image databases and the latest MR image analysis tools; schedule analysis tasks on the grid compute engine, the outcomes of which will be visualized by the visualization workstations.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100235
Funder
Australian Research Council
Funding Amount
$280,000.00
Summary
Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure wil ....Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure will accelerate the pace of surveillance research and development in Australia, enhancing the competitiveness of both Australia's researchers and the businesses that will commercialise these researchers' discoveries.Read moreRead less
Tracking targets in large scale surveillance camera networks. The research is expected to provide a significant boost in the effectiveness of safety and security measures for public facilities and open spaces that are monitored by surveillance cameras. The general public benefits from this through a decreased need for intrusive security measures, and increased deterrence of crime and anti-social behaviour. This capability is in demand worldwide for both public and private camera networks, whose ....Tracking targets in large scale surveillance camera networks. The research is expected to provide a significant boost in the effectiveness of safety and security measures for public facilities and open spaces that are monitored by surveillance cameras. The general public benefits from this through a decreased need for intrusive security measures, and increased deterrence of crime and anti-social behaviour. This capability is in demand worldwide for both public and private camera networks, whose usefulness is currently limited by the difficulty of monitoring them. We therefore anticipate considerable commercial interest in Australia and internationally.
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Image search for simulator content creation. The World Wide Web contains tens of billions of images, with personal and industrial collections stretching to may times that number. The potential economic value of these image-based resources is enormous, but largely untapped as we have no practical way of recovering the images we need. This project will develop image search technologies which will allow Australian industry to exploit these important resources. Some of the wide variety of possible ....Image search for simulator content creation. The World Wide Web contains tens of billions of images, with personal and industrial collections stretching to may times that number. The potential economic value of these image-based resources is enormous, but largely untapped as we have no practical way of recovering the images we need. This project will develop image search technologies which will allow Australian industry to exploit these important resources. Some of the wide variety of possible applications might include the searching of surveillance video for objects of interest, vision-based guidance of unmanned vehicles, smart-phone and smart-home systems which understand their environments, and stock tracking systems which can detect spoilage.Read moreRead less
Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the ....Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the primary limitations of deep learning and will greatly increase its practical application to a range of industrial, cultural or health settings.Read moreRead less
Added depth: automated high level image interpretation. Humans are very good at understanding the world through imagery, but computers lack this fundamental capacity because they lack experience of what they might see. This project will provide this experience by combining the large volumes of imagery on the Internet with three dimensional information generated by humans for other purposes.
Discovery Early Career Researcher Award - Grant ID: DE190100539
Funder
Australian Research Council
Funding Amount
$408,000.00
Summary
Towards conversational vision-based Artificial Intelligence. This project aims to develop a novel learning framework, Vision-Ask-Answer-Act (V3A). This framework will allow a machine to perform a sequence of actions via a conversation with human users, based on intricate processing of not just visual input, but human-computer verbal exchanges. Artificial intelligence has great potential as a tool for economic productivity and daily tasks. Applications in cars and assistant robots, still in their ....Towards conversational vision-based Artificial Intelligence. This project aims to develop a novel learning framework, Vision-Ask-Answer-Act (V3A). This framework will allow a machine to perform a sequence of actions via a conversation with human users, based on intricate processing of not just visual input, but human-computer verbal exchanges. Artificial intelligence has great potential as a tool for economic productivity and daily tasks. Applications in cars and assistant robots, still in their early days, typically require significant expertise to use effectively. The outcomes of this project will push the boundary of vision-language research to produce a conversational intelligent agent that can be easily used in common situations across industry, transport, the medical sector, and at home.Read moreRead less