作者:
IVANCIC, WDCHU, PSHYY, DJNational Aeronautics and Space Administration
Lewis Research Center Cleveland Ohio 44135 USA. A design engineer in the Digital Technology Branch of the Space Electronics Division. He has extensive experience in satellite communications systems
modulation and coding on-board switching and routeing and high speed digital design. Since joining NASA in 1982 Mr. Ivancic has been responsible for the development of a variety of matrix switch controllers ground terminal equipment numerous pieces of special test equipment a beacon controller for the SARSAT program (Search and Rescue Satellite) and a time-shared decoder for a processing satellite. In addition Mr. Ivancic has been technical contract monitor on a number of advanced communications technology contracts including the Advanced Modulation Technology Development a 5 GHz fibre-optic link and multi-programmable modem study. He was awarded the B.S.E.E. and M.S.E.E. degrees by Cleveland State University in 1982 and 1986 respectively. Cleveland State University
Cleveland Ohio 44115 USA. Currently an assistant professor of Electrical Engineering Department at Cleveland State University. He obtained the M.S. and Ph.D. degrees from Iowa State University
majoring in Electrical and Computer Engineering. His research interests include high-speed computer networks digital systems and neural networks applications. He is a member of Sigma Xi Phi Kappa Phi as well as the IEEE and ACM. ComSearch
Reston Virginia 22091 USA. Received the B.S. degree in electrical engineering from National Chiao-Tung University
Hsin-Chu Taiwan in 1983 and the M.S. and Ph.D. degrees in electrical engineering from Georgia Institute of Technology Atlanta GA in 1986 and 1990 respectively. From June 1987 to October 1987 he worked for the Department of Neurology Emory University Atlanta as a Programmer. From September 1989 to December 1989 he worked for the Advanced Development Laboratory. AMP Inc. Atlanta as a Test Engineer. From February 1990 to August 1993 he wor
Many concepts for advanced communication satellite networks have recently been proposed. Critical technical issues relating to satellite packet switching for meshed very small aperture terminal networks and broadband ...
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Many concepts for advanced communication satellite networks have recently been proposed. Critical technical issues relating to satellite packet switching for meshed very small aperture terminal networks and broadband networks are addressed. Hardware considerations, networking and testing issues are discussed.
Formula-based analysis of communication links with time-varying channels and adaptive equalizers is not always tractable-Monte Carlo simulation must be used to obtain bit error rate (BER) estimates of the system. Conv...
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Formula-based analysis of communication links with time-varying channels and adaptive equalizers is not always tractable-Monte Carlo simulation must be used to obtain bit error rate (BER) estimates of the system. Conventional Monte Carlo simulation will not provide estimates for low BER's due to excessive run time. Although importance sampling (IS) techniques offer the potential for large speedup factors for BER estimation using MC simulation, IS techniques have not been used for simulating communication links with adaptive equalizers. In this paper, we present (for the first time) two IS methodologies for MC simulation of communication links characterized by time-varying channels and adaptive equalizers. One methodology is denoted as the ''twin system'' (TS) method. A key feature of the TS method is that biased noise samples are input to the adaptive equalizer, but the equalizer is only allowed to adapt to these samples for a time interval equal to the memory of the system. In addition to the TS technique, we also present a statistically biased, but simpler, technique for using IS with adaptive equalizers which is based on the independence assumption between equalizer input and equalizer taps (the ''IA'' method). Experimental results are presented that show run-time speedup factors of two to seven orders of magnitude for a static linear channel with memory, and of two to almost five orders of magnitude for a slowly-varying random linear channel with memory for both the IA and TS methods.
A new nonlinear filter known as the generalised adaptive neural filter (GANF) is introduced. It is extended from the generalised stack filter and can be adapted by various neural networks. It is also shown that there ...
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A new nonlinear filter known as the generalised adaptive neural filter (GANF) is introduced. It is extended from the generalised stack filter and can be adapted by various neural networks. It is also shown that there always exists a GANF that can achieve an absolute error less than or equal to that of a stack filter with the same window width. Experimental results are presented to demonstrate the effectiveness of GANF for suppressing noise.
This correspondence presents an analysis of band energies and evaluates the effects of aliasing in perfect reconstruction (PR) multirate systems. An objective performance measure called nonaliasing energy ratio (NER) ...
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This correspondence presents an analysis of band energies and evaluates the effects of aliasing in perfect reconstruction (PR) multirate systems. An objective performance measure called nonaliasing energy ratio (NER) is defined. The merit of the new measure is emphasized with the performance comparisons of popular block transforms and 2-band PR-QMF based hierarchical filter banks. It is shown that the new measure complements the widely used energy compaction measure.
A source traffic shaper based on prediction of the behaviour of the ATM B-ISDN access policer is discussed. Using this approach, it is possible, within a policed virtual circuit, to reduce both loss and delay of the h...
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A source traffic shaper based on prediction of the behaviour of the ATM B-ISDN access policer is discussed. Using this approach, it is possible, within a policed virtual circuit, to reduce both loss and delay of the high-priority cells at the expense of delay of the low-priority cells. The priority-based traffic shaping is beneficial for sources generating cell streams with differing service requirements, e.g. multimedia sources.
A new method to recognize partially visible two-dimensional objects by means of a modified Hopfield neural network is introduced. Each object is represented by a set of ''landmarks'', and thus such an ...
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A new method to recognize partially visible two-dimensional objects by means of a modified Hopfield neural network is introduced. Each object is represented by a set of ''landmarks'', and thus such an approach is referred to as landmark-based shape recognition. The landmarks of an object are points of interest relative to the object that have important shape attributes. Given a scene consisting of partially visible objects, a model object in the scene is determined by how well the model landmarks are matched to those in the scene. A local shape measure, known as the sphericity, is used to measure the similarity between two landmarks. The hypothesis of a model object in a scene is made by matching the model landmarks with the scene landmarks. The landmark matching task is performed by a modified Hopfield neural network. The location of the model in the scene is estimated by a least squares fit among the matched landmarks. The hypothesis is finally verified by a heuristic measure. The convergence of the modified Hopfield neural network is proven, and the robustness of the approach has been experimentally demonstrated.
Three fast algorithms have been developed to solve the problem of data association in multitarget tracking in clutter. In the first algorithm, the problem of data association is identified as an exhaustive search prob...
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Three fast algorithms have been developed to solve the problem of data association in multitarget tracking in clutter. In the first algorithm, the problem of data association is identified as an exhaustive search problem in general. Subsequently, a mathematical model is proposed for the problem of data association in the joint probabilistic data association filter (JPDAF). Based on the model, a depth-first search (DFS) approach is developed for the fast generation of data association hypotheses and the computation of the conditional probabilities of the hypotheses in the JPDAF. When the density of targets is moderate, a second algorithm which is more efficient is developed to directly compute a posteriori probabilities in the JPDAF without generating the data association hypotheses. In the third algorithm, the effect of interference due to closely spaced targets is simplified. This leads us to develop an approach to approximately compute the a posteriori probabilities in the JPDAF. The computational complexity of the above algorithms is analyzed in the worst case as well as in the average case.
Key issues regarding the operation of the broadband integrated services digital network (BISDN) via satellite are presented herein. The specific issues, challenges, and their resolutions are detailed. In particular, t...
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Key issues regarding the operation of the broadband integrated services digital network (BISDN) via satellite are presented herein. The specific issues, challenges, and their resolutions are detailed. In particular, the impact of error characteristics and propagation delay on the operation of BISDN via satellite is discussed. Solutions are presented for removing adverse effects and providing high-quality service to users of BISDN via satellite.
The complexity of computation in a multidimensional digital filter stability test using resultant theory is reduced by exploiting a criterion for a polynomial having complex coefficients to be a Schur polynomial. The ...
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The complexity of computation in a multidimensional digital filter stability test using resultant theory is reduced by exploiting a criterion for a polynomial having complex coefficients to be a Schur polynomial. The computational advantage is illustrated by nontrivial examples involving polynomials having both numerical and literal coefficients.
It is shown how the efficient recursive total least squares algorithm recently developed by C. E. Davila [3] for real data can be applied to image reconstruction from noisy, undersampled multiframes when the displacem...
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It is shown how the efficient recursive total least squares algorithm recently developed by C. E. Davila [3] for real data can be applied to image reconstruction from noisy, undersampled multiframes when the displacement of each frame relative to a reference frame is not accurately known. To do this, the complex-valued image data in the wavenumber domain is transformed into an equivalent real data problem to which Davila's algorithm is successfully applied. Two detailed illustrative examples are provided in support of the procedure. Similar reconstruction in the presence of blur as well as noise is currently under investigation.
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