Convergence of numerical methods
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2016 IEEE 55th IEEE Conference on Decision and Control (CDC)
The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.
Microwave theory, techniques, and applications as they relate to components, devices, circuits, and systems involving the generation, transmission, and detection of microwaves.
Zayer, R.; Rossl, C.; Seidel, H.-P. Shape Modeling and Applications, 2006. SMI 2006. IEEE International Conference on, 2006
We present an efficient approach for solving the spherical parameterization problem. The essence of the approach is to look for a solution in the curvilinear coordinate system without requiring the additional spherical constraints usually needed in Cartesian formulations. This setup allows us to take full advantage of some existing techniques originally developed for planar parameterization. Our results substantiate the efficiency ...
Ki-Won Yeom; Joong-Ho Lee; Ji-Hyung Park Computational Intelligence and Security, 2006 International Conference on, 2006
Notice of Violation of IEEE Publication Principles "Biologically Inspired Evolutionary Agent Systems in Dynamic Environments" by K.W. Yeom and J.H. Park in the Proceedings of the IEEE Congress on Evolutionary Computation, 2006. CEC 2006, pp.386-390 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to ...
Daneshrad, B.; Samueli, H. Selected Areas in Communications, IEEE Journal on, 1995
An all digital-QAM system is studied here for high-speed data transmission on digital subscriber loops. All elements of the system have been fully investigated and their effects on overall system performance documented. In particular, the following issues have been explicitly addressed: utility of an adaptive error-prediction (noise-prediction) filter; equalizer size and convergence; blind equalization; choice of constellation size and center ...
Braess, D.; Grebe, E. Power Apparatus and Systems, IEEE Transactions on, 1981
An analysis of numerical procedures for treating load-flow problems is performed. It is shown that the Newton-(Raphson) method and a Z-matrix method yield the unique solution provided that a characteristic number ¿of the network is not larger than 0.25. The number ¿corresponds to the losses. We form an a priori estimate for the number of iterations which are sufficient to ...
Bhotto, M.Z.A.; Antoniou, A. Digital Signal Processing, 2009 16th International Conference on, 2009
Improved versions of two known LMSN algorithms are proposed. In these algorithms, data-selective weight adaptation is performed and in this way reduced steady-state misalignment is achieved relative to that in the known LMSN algorithms while requiring a similar number of iterations to converge. On the other hand, for a constant misalignment a significant reduction in the convergence speed can be ...
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