A new method for estimating 3D motion parameters from point correspondences is presented in this paper. The problem formulation leads to the solution of an overdetermined linear system of equations. The total least sq...
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A new method for estimating 3D motion parameters from point correspondences is presented in this paper. The problem formulation leads to the solution of an overdetermined linear system of equations. The total least squares (TLS) method is found to be the most suitable one for estimating the solution since our model includes noise both in the observation data and in the system matrix. The translation parameters are obtained immediately from the above solution whereas the rotation parameters are estimated from the solution of another TLS problem. Tests of our method on artificial data and on real images show its robustness against Gaussian additive noise and against digitalization noise introduced by finite pixel resolution.
This paper describes the application of an artificial neural network (ANN) technique together with a feature extraction technique, viz., the wavelet transform, for the classification of EEG signals. Three classes of E...
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This paper describes the application of an artificial neural network (ANN) technique together with a feature extraction technique, viz., the wavelet transform, for the classification of EEG signals. Three classes of EEG signals were used: normal, schizophrenia (SCH), and obsessive compulsive disorder (OCD). The architecture of the artificial neural network used in the classification is a three-layered feedforward network which implements the backpropagation of error learning algorithm. After training, the network with wavelet coefficients was able to correctly classify over 66% of the normal class and 71% of the schizophrenia class of EEGs. The wavelet transform thus provides a potentially powerful technique for preprocessing EEG signals prior to classification.
We present a new class of discrete chaotic systems (i.e. chaotic maps) that can effectively encrypt information. The nonlinearity of these systems is achieved by designing proper piecewise linear functions and by usin...
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We present a new class of discrete chaotic systems (i.e. chaotic maps) that can effectively encrypt information. The nonlinearity of these systems is achieved by designing proper piecewise linear functions and by using modulo operations. The chaotic maps are used as pseudo-noise generators and as the synchronization mechanism of a secure spread-spectrum communication system design. The potential for automatic synchronization, the lack of periodicity and the extremely large parameter spaces that our chaotic maps exhibit offer great advantages over the traditional linear feedback shift registers pseudo-noise generators for spread spectrum system design.
A critical issue in understanding high speed flows is the study of shock waves. The paper summarizes our research on techniques for the detection and visualization of shock waves occuring in simulations of three dimen...
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A critical issue in understanding high speed flows is the study of shock waves. The paper summarizes our research on techniques for the detection and visualization of shock waves occuring in simulations of three dimensional flows on unstructured grids. Detection algorithms based on Mach number, density gradient and directional derivatives are compared using a data set from calculations of a transonic flow with a weak double shock around an airfoil. Both surface and volume rendering techniques are used to display the shocks. The issues in this research area are very much like those occurring in medical imaging. Since the data themselves (in this case the results of the fluid dynamics simulation) are intrinsically low resolution and noisy, properly extracting and visualizing the shock is very difficult. In this environment, blurry, low resolution techniques, like the splatting volume rendering, seem to do rather well. More complex schemes, using sophisticated numerical shock detectors coupled with polygon rendering, produce visually sharper shocks, but also introduce "graphics artifacts," which complicate understanding of the flow physics. On the other hand, visualization results produced with techniques like splatting are, in effect, relying more on the human visual system to compensate for limited resolution in the simulation.
Two extensions of PX system will be discussed. The extensions are ctPX (catch/throw PX) and mvPX (multiple values PX). ctPX is a PX system extended with Nakano's catch/throw logic. ctPX enables to extract LISP pro...
Two extensions of PX system will be discussed. The extensions are ctPX (catch/throw PX) and mvPX (multiple values PX). ctPX is a PX system extended with Nakano's catch/throw logic. ctPX enables to extract LISP pro...
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In the early 80’s, V. Lifschitz presented a classical logic which can code up constructive logic [8], [9]. We will show how it is used for optimization in program extraction. We will show that the second author’s ex...
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The purpose of this paper is to present a continuous time identification method which can be used for high accuracy prediction and control. We consider continuous time systems with quasi-periodic inputs and white obse...
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The purpose of this paper is to present a continuous time identification method which can be used for high accuracy prediction and control. We consider continuous time systems with quasi-periodic inputs and white observation noise. These investigations have been motivated by control problems in microrobotics, where sampling rate and accuracy requirements are very high. It is shown that continuous time identification methods lead to numerically well conditioned prediction. The key tool in showing this is a general result of the theory of stochastic complexity. Also, we give an explanation on why discrete time methods break down.
This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate stu...
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ISBN:
(数字)9783319396750
ISBN:
(纸本)9783319396743;9783319819372
This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.
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