A number of two-dimensional LSIs (2D-LSIs) with the thickness of around 30 /spl mu/m which amplify and convert imagesignals and perform some arithmetic operations are integrated vertically in order to achieve a real-...
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A number of two-dimensional LSIs (2D-LSIs) with the thickness of around 30 /spl mu/m which amplify and convert imagesignals and perform some arithmetic operations are integrated vertically in order to achieve a real-time microvision system. This microvision system transfers the two-dimensional (2D) image data arrays as it is using high density vertical interconnections. So, the image information signals are processed in parallel in each LSI and the processings are performed in pipelines over all the system. In this study we design the test chip which performs edge detection by Laplacian operator. In CAD simulation, the processing time of the edge detection takes about 10 /spl mu/sec using 2 /spl mu/m CMOS design rule. In fabrication, grinding and chemical-mechanical polishing techniques are used to thin the wafer to 30 /spl mu/m. The thinned wafer with buried interconnections is bonded vertically to a thick wafer through micro-bumps after careful alignment by the newly developed wafer aligner with the alignment tolerance of 1 /spl mu/m. The microvision system with 3D integration structure can be fabricated by repeating such sequences.
Recent architectural and technological advances have led to the Feasibility of a new class of massively parallel processingsystems based on a fine-grain, message-passing computational model. These machines provide a ...
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Recent architectural and technological advances have led to the Feasibility of a new class of massively parallel processingsystems based on a fine-grain, message-passing computational model. These machines provide a new alternative for the development of fast, cost-efficient Maximum Likelihood-Expectation Maximization (ML-EM) algorithmic formulations. As an important first step in determining the potential performance benefits to be garnered from such formulations, we have developed an ML-EM algorithm suitable for the high-communications, low-memory (HCLM) execution model supported by this new class of machines. evaluation of this algorithm indicates a normalized least-square error comparable to, or better than, that obtained via a sequential ray-driven ML-EM formulation and an effective speedup in execution time (as determined via discrete-event simulation of the Pica multiprocessor system currently under development at the Georgia Institute of Technology) of well over two orders of magnitude compared to current ray-driven sequentialML-EM formulations on high-end workstations. Thus, the HCLM algorithmic formulation may provide ML-EM reconstructions within clinical time-frames.
The proceedings contains 185 papers. Topics discussed include robotics and adaptive control, machine control and simulation, converters and inverters, digital signalprocessing applications, testability issues for dig...
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The proceedings contains 185 papers. Topics discussed include robotics and adaptive control, machine control and simulation, converters and inverters, digital signalprocessing applications, testability issues for digital circuits and systems, mixed signal integrated circuits, digital hardware design and applications, VLSI design and automation, adaptive systems, image and video coding, data converters and sigma delta modulators, continuous-time circuits, fuzzy systems, digital signalprocessing in communications, electronic design in multimedia, high performance chip designs, high performance analog signal processors, adaptive filters, analog system building blocks, current mode circuits, pattern recognition, power transformer, equipment and control, wavelets and filter banks, multimedia architecture, testing mixed-signal integrated circuits, analog and digital circuits and systems, circuit theory, analysis and design, signal compression, signalprocessing for communication, implementation of DSP system, modeling for power system analysis and design, analog signalprocessing and biomedical engineering.
The signal and noise propagation through a generalized x-ray image intensifier/TV camera chain is modeled in terms of the modulation transfer function, two dimensional noise power spectrum, and detective quantum effic...
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ISBN:
(纸本)0819417807
The signal and noise propagation through a generalized x-ray image intensifier/TV camera chain is modeled in terms of the modulation transfer function, two dimensional noise power spectrum, and detective quantum efficiency. The model covers effects of energy dependent x-ray absorption in the cesium iodide entrance screens, K-fluorescence and K-reabsorption, electron optics, output screens, lenses and also sensing with electronic pick-up tubes (plumbicons) or CCD sensors. Several Philips x-ray image intensifiers in combination with plumbicon TV-chains and with laboratory type CCD cameras are compared with the model. Based on the model results we further present an image simulation tool. The image simulation allows a direct evaluation of the impact of the individual components of the imaging chain on image quality. It is shown that future high resolution CCD systems can exhibit a superior image quality as compared with electronic pick-up tube systems.
Verification of imageprocessingsystems is mainly done on the basis of image sequence simulations. To achieve high simulation efficiency, our compiled code simulator MSIPC offers a high performance clock period preci...
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Verification of imageprocessingsystems is mainly done on the basis of image sequence simulations. To achieve high simulation efficiency, our compiled code simulator MSIPC offers a high performance clock period precision simulation, according to the SDF simulation paradigm. Furthermore it supports mixed mode (e.g. VHDL) simulations via coupling to external simulators, and via cross-compiling.
Future 3rd generation Universal Mobile Telecommunication systems (UMTS) will be based on ATM and the extension of B-ISDN although N-ISDN may be used during an evolution period. The RACE MObile NETwork project (MONET) ...
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Future 3rd generation Universal Mobile Telecommunication systems (UMTS) will be based on ATM and the extension of B-ISDN although N-ISDN may be used during an evolution period. The RACE MObile NETwork project (MONET) is developing the fixed network part of UMTS. The paper describes network architectures and protocol models for UMTS with scenarios for the way in which ATM may be used to support signalling. simulation models for both ATM and N-ISDN signalling have been developed and included within a simulation platform. This platform also considers the mapping of functional models onto network implementations to enable the analysis of information flow between functions in the network.< >
This paper describes a discrete-event simulation model for performanceevaluation of practical fixed and moving block railway signalling systems using track conductor loops to transmit continuous information between w...
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This paper describes a discrete-event simulation model for performanceevaluation of practical fixed and moving block railway signalling systems using track conductor loops to transmit continuous information between wayside and train. The fixed block system simulated has unidirectional transmission, and the moving block system has bidirectional transmission. The simulation results identify the physical features which limit the performance of these types of block signalling systems, and show the importance of considering train dynamics in moving block signalling system design.< >
In this paper new methods for time delay and frequency delay estimation are introduced based on the theory of alpha-stable distributions. It is shown that these methods are robust for both Gaussian and non-Gaussian im...
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In this paper new methods for time delay and frequency delay estimation are introduced based on the theory of alpha-stable distributions. It is shown that these methods are robust for both Gaussian and non-Gaussian impulsive noise environments. Their improved performance is clearly demonstrated through analytical results and simulation experiments with both computer generated data and actual radar clutter data.
Multi sensor based fire detection (MSbFD) systems are one of the important current developments in automatic fire detection technology. The two main objectives of this progress are the still unacceptable false alarm b...
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Multi sensor based fire detection (MSbFD) systems are one of the important current developments in automatic fire detection technology. The two main objectives of this progress are the still unacceptable false alarm behaviour and improvements in the fire detection capabilities (i.e. shorter detection times) of fire detection systems. The use of more than one sensor in a fire detector gives an improved image of the environment monitored and hence allows a safer alarm decision. Multi sensor technology allows but does imply the enhancement of fire detection systems in the desired directions. The crucial point is the evaluation and interpretation of the signals produced by the monitored phenomena. This signalprocessing (detection algorithm) mostly determines the detectors capabilities. Due to the availability of microcontrollers applicable to fire detector technology with its severe technical constraints (i.e. power consumption) modern signalprocessing techniques (neural networks, fuzzy logic) can be used. The paper presents a MSbFD algorithm using two fire parameters (temperature and optical smoke density). These two sensors were chosen since ionization systems may become increasingly difficult to apply because of the environmental regulations being imposed on them. The evaluation and processing of the sensor signals is carried out by the use of fuzzy logic. The concept of the algorithm is outlined and its performance and robustness in the fire and the non-fire case is shown by simulation results.
As the operational requirements placed on airborne surveillance systems increase many in-service systems are approaching the limits of their performance. This problem is compounded by modifications to the systems, suc...
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ISBN:
(纸本)0819415421
As the operational requirements placed on airborne surveillance systems increase many in-service systems are approaching the limits of their performance. This problem is compounded by modifications to the systems, such as the change of displays and addition of recording equipment which causes the systems not to be ergonomically and psychophysiologically optimized. simulation has been conducted and sensor system modelling performed to assess the improvement in operational performance that is attainable by the application of imageprocessing techniques viable for implementation in the real-time airborne environment. Equipments have been developed and operated in-service from which operational reports have confirmed the results of the system modelling. Future upgrades of the processing system will enable the application of such processing to a range of in-service systems as an intermediate, low cost system upgrade.
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