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检索条件"机构=Science and Technology on Radar Signal Processing Laboratory"

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Mathematical basis for the design of an artificial retina: visual prosthesis for the retinally blind

Mathematical basis for the design of an artificial retina: v...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： S. Hungenahally Signal Processing and Intelligent Systems Research Laboratory Science and Technology Griffith University Australia

Visual prosthesis for the retinally blind is an area of research which is seeing some advances and progress. Advances in the areas of image processing, neuro-morphology of vision, microelectronic engineering and high speed computing has contributed to significant progress in this area. Research using specific patterns of electrical stimulation may enable physicians to restore sight to the blind. Other disciplines provide examples of how electrical stimulation can solve other problems for example the cochlear implants stimulate spinal ganglion cells of the auditory nerves. On the one hand issues of signal and image processing in the biological system are not yet fully understood while on the other hand there is the implant problem which needs to be addressed. In this paper an attempt has been made to point out the various difficulties, unsolved problems and propose solutions to some of them. A prototype of the artificial retina is described. Work under progress in the "signal processing and Intelligent Systems Research laboratory, Faculty of science and technology, Griffith University" is described.

关键词： Retina Image processing Electrical stimulation Visual prosthesis Microelectronics Computer vision Image restoration signal restoration Cochlear implants signal processing

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Fractional discriminant functions: emulation of real-index-order receptive fields for vision systems

Fractional discriminant functions: emulation of real-index-o...

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IEEE International Conference on Systems, Man and Cybernetics

作者： S.K. Hungenahally Signal Processing and Intelligent Systems Research Laboratory Science and Technology Griffith University Brisbane QLD Australia

Extraction of transitions and edge information from signals and visual images in the presence of noise is an important class of problems in image processing. Biological visual systems posses some robust neuro-morphological functions for information abstraction. The complex architecture of the neural elements from the retina to the visual cortex are organized into receptive fields. Discriminant functions are further extended into a family of fractional discriminant functions based on the notion of fractional D operators. This paper presents the theory of fractional discriminant functions /spl Theta//sup /spl nu//[/spl xi/] which attempt to emulate the biological receptive field functionality. It employs /spl Theta/[/spl xi/] functions for the enhancement of various attributes of images which require human intervention.

关键词： Emulation Machine vision Data mining Biomedical imaging signal processing Humans Medical diagnostic imaging Remote sensing Space exploration Time domain analysis

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Adaptive variable update rate target tracking for a phased array radar

Adaptive variable update rate target tracking for a phased a...

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IEEE International Conference on radar

作者： P.W. Sarunic Microwave Radar Division Defence Science and Technology Organisation Salisbury Australia Cooperative Research Centre for Sensor Signal and Information Processing Adelaide SA Australia

A tracking algorithm is proposed which adaptively varies the target-track update rate to maintain constant tracker validation region size during target non-manoeuvre and manoeuvre phases; the validation region size being closely linked to tracker performance in clutter. Computer simulations are performed for a target performing various manoeuvres, demonstrating the ability of the algorithm to maintain constant validation region size.

关键词： Phased arrays Target tracking Adaptive arrays radar tracking Size control radar antennas Filters Iterative algorithms Microwave technology Australia

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Neural basis for the design of fractional discriminant functions

Neural basis for the design of fractional discriminant funct...

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International Conference on Neural Networks

作者： S. Hungenahally Signal Processing and Intelligent Systems Research Laboratory Faculty of Science and Technology Griffith University Nathan QLD Australia

Fractional discrimination is a process by which an aggregated continuous differentiation of any signal can be carried out. In this paper the author presents the basis for the design of fractional discriminant functions for image processing based on the visual receptive fields. It is hypothesised in this paper that the biological visual system employs some orders of fractional discrimination to carry out visual perception. It is shown that perceptual information of good quality is extracted despite poor PSNR and NMSE in images. It is the author's observation that merely improving the SNR and the statistical measures of an image does not necessarily improve the perceptual quality of the image on the contrary the author has shown by employing fractional discriminant functions that perceptual quality is better in spite of poor statistical measurements.

关键词： signal processing Image processing Visual system Visual perception Data mining PSNR

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Virtual cockpit: fuzzy neural networks in visual perception

Virtual cockpit: fuzzy neural networks in visual perception

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International Conference on Neural Networks

作者： S.K. Hungenahally Signal Processing and Intelligent Systems Research Laboratory Faculty of Science and Technology Griffith University Nathan Campus QLD Australia

Research on fuzzy neurons involves the development of computational modules which recognise the physical data in a system and perform logical operations for decision making. The outputs of fuzzy neurons can be connected into a network by employing inference mechanisms to arrive at a judgement. Such networks are very useful in real world systems where a human operator is present in the feedback loop. The complex system of an aircraft cockpit is an ideal example for the application of such a technology. The pilot is an active part of the feedback element of the system. In this paper a formal definition of fuzzy neurons is given and a simple fuzzy neural system is implemented in the design of the AVID panel. AVID is a visual display panel employing fuzzy logic to display the flight instrumentation data and integrated into a processing network for the purposes of real time operations.

关键词： Fuzzy neural networks Visual perception Fuzzy systems Neurons Fuzzy logic Displays Physics computing Decision making Inference mechanisms Humans

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Selective attention adaptive resonance theory (SAART) neural network for neuro-engineering of robust ATR systems

Selective attention adaptive resonance theory (SAART) neural...

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International Conference on Neural Networks

作者： P. Lozo Weapons Systems Division Aeronautical and Maritime Research Laboratory Defence Science and Technology Organisation Salisbury SA Australia Department of Electrical and Electronic Engineering University of Adelaide SA Australia Cooperative Research Centre for Sensor Signal and Information Processing SA Australia

This paper presents a novel real-time artificial neural network called selective attention adaptive resonance theory (SAART). SAART is a self-organising neural model that is based on a real-time neural theory of sensory information processing, high level biological vision, visual perception, object recognition and self-organised learning in complex sensory environments. SAART embeds new neural mechanisms (selective presynaptic facilitation and selective presynaptic inhibition) into a dynamic neural network that is capable of selective attention and visual perception. These new features enable the network to learn effectively in noisy inputs and to recognize familiar 2-D patterns of neural activity (representations of object's boundary) in complex, cluttered and noisy background. SAART also provides fundamental neural design principles and neuro-engineering foundations for the design of robust automatic target recognition and neuro-computational vision systems.

关键词： Resonance Visual perception Background noise Artificial neural networks Biological system modeling Information processing Object recognition Neural networks Working environment noise Pattern recognition

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Instrumentation for the Acoustic Thermometry of Ocean Climate (ATOC) prototype Pacific Ocean network

Instrumentation for the Acoustic Thermometry of Ocean Climat...

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OCEANS

作者： B.M. Howe S.G. Anderson A. Baggeroer J.A. Colosi K.R. Hardy D. Horwitt F.W. Karig S. Leach J.A. Mercer K. Metzger L.O. Olson D.A. Peckham D.A. Reddaway R.R. Ryan R.P. Stein K. von der Heydt J.D. Watson S.L. Weslander P.F. Worcester Applied Physics Laboratory University of Washington Seattle WA USA Massachusetts Institute of Technology Cambridge MA USA Scripps Institution of Oceanography University of California San Diego Seattle WA USA Scripps Institution of Oceanography University of California San Diego La Jolla CA USA Communications and Signal Processing Laboratory Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI USA Woods Hole Oceanographic Institution Seattle WA USA Applied Physics Laboratory University of Washington Woods Hole MA USA

The prototype Pacific Ocean network for the Acoustic Thermometry of Ocean Climate (ATOC) program consists of two shore-cabled acoustic sources, two autonomous vertical hydrophone receiving arrays, and 16 U.S. Navy hydrophone arrays. The sources, receivers, and signaling strategy are designed to be capable of up to 10-megameter transmissions on a routine basis. A new broadband, low-frequency (75 Hz), acoustic source was designed and built by Alliant Techsystems. The bender-bar/barrel-stave transducer is pressure compensated for operation to 1000-m depth. signal waveform shaping is employed to broaden the effective bandwidth of the source to 37.5 Hz (Q=2; time resolution of 27 ms). Four-element vertical hydrophone arrays are attached to the sources to permit reciprocal transmissions and ambient noise monitoring. Autonomous vertical hydrophone arrays consisting of 40 elements at 35-m spacing (1400-m aperture) were developed to resolve low-order acoustic modes. The autonomous arrays are designed for deployments of up to 1 year, with intermediate readout of the data via ship-recoverable pop-up data modules. The U.S. Navy hydrophone arrays were instrumented with 80486-based data acquisition and processing systems, with communications links for transmitting the data in near real time to a central site for further processing and archiving.

关键词： Instruments Oceans Sonar equipment Acoustic arrays Prototypes signal design Acoustic transducers Bandwidth signal resolution Acoustic noise

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radar target recognition using range profiles

Radar target recognition using range profiles

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Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and signal processing. Part 2 (of 6)

作者： Zyweck, Anthony Bogner, Robert E. Microwave Radar Division Defence Science and Technology Organisation University of Adelaide Australia Cooperative Research Centre for Sensor Signal and Information Processing SPRI Building Technology Park Adelaide The Levels PoorakaSA5095 Australia

With the increased availability of coherent wideband radars, there has been a renewed interest in radar target recognition. A large bandwidth gives high resolution in range which means target recognition may be possible. We examine some of the problems of classifying high resolution range profiles (HRRP), and investigate simple preprocessing techniques which may aid subsequent target classification. We apply these techniques to HRRP data acquired at a local airport using the Microwave radar Division (MRD) mobile radar facility. We find that we can reliably distinguish between Boeing 727 and Boeing 737 aircraft over a range of aspect angles. © 1994 IEEE.

关键词： radar target recognition

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radar target recognition using range profiles

Radar target recognition using range profiles

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： A. Zyweck R.E. Bogner Microwave Radar Division Defence Science and Technology Organisation Australia Cooperative Research Centre for Sensor Signal and Information Processing Levels Australia University of Adelaide Australia

关键词： Target recognition Bandwidth Frequency Microwave technology signal resolution Aircraft Feature extraction signal to noise ratio radar signal processing Microwave sensors

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Wavelet feature extractors and evidence neural networks for the detection of "blackholes" in backscatter ionograms

Wavelet feature extractors and evidence neural networks for ...

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Australian and New Zealand Conference on Intelligent Information Systems

作者： E. Skafidas M. Palaniswami D.J. Percival Centre for Sensor Signal and Information Processing Department of Electrical and Electronic Engineering University of Melbourne Parkville USA High Frequency Radar Division Defence Science and Technology Organisation Salisbury SA Australia

Backscatter ionograms provide a concise summary of high frequency (HF) ionospheric propagation conditions, and find application in over-the-horizon radar (OTHR) and HF communications. Of particular interest are blackholes in backscatter ionograms, which are manifest as anomalous linear depressions in the ionogram clutter. An algorithm is developed for the real time automatic detection of blackholes. The algorithm uses a wavelet based feature extractor derived for a simple blackhole model, which in turn is presented as input to a multistage evidence based neural network classifier. Classification results are favourably compared with classical template matching.< >

关键词： Feature extraction Neural networks Intelligent networks signal to noise ratio Backscatter Frequency Clutter Wavelet domain radar detection signal resolution

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