Proceedings of the IEEE

Issue 5 • May 2007

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Displaying Results 1 - 20 of 20
  • [Front cover]

    Publication Year: 2007, Page(s): C1
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  • Proceedings of the IEEE publication information

    Publication Year: 2007, Page(s):C1 - C2
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  • Table of contents

    Publication Year: 2007, Page(s):845 - 846
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  • Preventing Asteroid Earth Impacts With Laser Technology: Progress and Prospects

    Publication Year: 2007, Page(s):847 - 848
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  • Special Issue on Large-Scale Dynamic Systems

    Publication Year: 2007, Page(s):849 - 852
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  • Large-Scale Dynamical Models and Estimation for Permeation in Biological Membrane Ion Channels

    Publication Year: 2007, Page(s):853 - 880
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (988 KB) | HTML iconHTML

    Biological ion channels are water-filled angstrom-unit (1 angstrom unit=10-10 m)sized pores formed by proteins in the cell membrane. They are responsible for regulating the flow of ions into and out of a cell and hence they control all electrical activities in a cell. This paper deals with constructing large scale stochastic dynamical models for explaining ion permeation; that is, how i... View full abstract»

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  • Statistical Signal Processing and the Motor Cortex

    Publication Year: 2007, Page(s):881 - 898
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (941 KB) | HTML iconHTML

    Over the past few decades, developments in technology have significantly improved the ability to measure activity in the brain. This has spurred a great deal of research into brain function and its relation to external stimuli, and has important implications in medicine and other fields. As a result of improved understanding of brain function, it is now possible to build devices that provide direc... View full abstract»

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  • An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo

    Publication Year: 2007, Page(s):899 - 924
    Cited by:  Papers (360)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1006 KB) | HTML iconHTML

    It is now over a decade since the pioneering contribution of Gordon (1993), which is commonly regarded as the first instance of modern sequential Monte Carlo (SMC) approaches. Initially focussed on applications to tracking and vision, these techniques are now very widespread and have had a significant impact in virtually all areas of signal and image processing concerned with Bayesian dynamical mo... View full abstract»

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  • Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters

    Publication Year: 2007, Page(s):925 - 952
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1774 KB) | HTML iconHTML

    Standard algorithms in tracking and other state-space models assume identical and synchronous sampling rates for the state and measurement processes. However, real trajectories of objects are typically characterized by prolonged smooth sections, with sharp, but infrequent, changes. Thus, a more parsimonious representation of a target trajectory may be obtained by direct modeling of maneuver times ... View full abstract»

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  • Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature

    Publication Year: 2007, Page(s):953 - 977
    Cited by:  Papers (172)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (812 KB) | HTML iconHTML

    In this paper, a new version of the quadrature Kalman filter (QKF) is developed theoretically and tested experimentally. We first derive the new QKF for nonlinear systems with additive Gaussian noise by linearizing the process and measurement functions using statistical linear regression (SLR) through a set of Gauss-Hermite quadrature points that parameterize the Gaussian density. Moreover, we dis... View full abstract»

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  • An Information-Based Approach to Sensor Management in Large Dynamic Networks

    Publication Year: 2007, Page(s):978 - 999
    Cited by:  Papers (57)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1423 KB) | HTML iconHTML

    This paper addresses the problem of sensor management for a large network of agile sensors. Sensor management, as defined here, is the process of dynamically retasking agile sensors in response to an evolving environment. Sensors may be agile in a variety of ways, e.g., the ability to reposition, point an antenna, choose sensing mode, or waveform. The goal of sensor management in a large network i... View full abstract»

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  • Syntactic Modeling and Signal Processing of Multifunction Radars: A Stochastic Context-Free Grammar Approach

    Publication Year: 2007, Page(s):1000 - 1025
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1294 KB) | HTML iconHTML

    Multifunction radars (MFRs) are sophisticated sensors with complex dynamical modes that are widely used in surveillance and tracking. This paper demonstrates that stochastic context-free grammars (SCFGs) are adequate models for capturing the essential features of the MFR dynamics. Specifically, MFRs are modeled as systems that ldquospeakrdquo a language that is characterized by an SCFG. The paper ... View full abstract»

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  • The Smooth Variable Structure Filter

    Publication Year: 2007, Page(s):1026 - 1059
    Cited by:  Papers (53)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2104 KB) | HTML iconHTML

    In this paper, a new method for state estimation, referred to as the smooth variable structure filter (SVSF), is presented. The SVSF method is model based and applies to smooth nonlinear dynamic systems. It allows for the explicit definition of the source of uncertainty and can guarantee stability given an upper bound for uncertainties and noise levels. The performance of the SVSF improves with mo... View full abstract»

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  • From Hierarchical to Open Access Electric Power Systems

    Publication Year: 2007, Page(s):1060 - 1084
    Cited by:  Papers (58)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (513 KB) | HTML iconHTML

    In this paper the modeling, monitoring, and control of electric power systems are presented from the point of view of large-scale dynamic systems. First a summary of current hierarchical operations is given, together with an assessment of the underlying assumptions. Next, the challenge of operating electric power systems over very broad ranges of system conditions is presented as an open sensing, ... View full abstract»

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  • Solar Modal Structure of the Engineering Environment

    Publication Year: 2007, Page(s):1085 - 1132
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2504 KB) | HTML iconHTML

    This paper describes some unanticipated effects of the normal modes of the sun on engineering and scientific systems. We begin with historical, scientific, and statistical background, then present evidence for the effects of solar modes on various systems. Engineering evidence for these modes was first noticed in an investigation of communications satellite failures and second in a study of excess... View full abstract»

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  • Electrical Engineering Hall of Fame: George A. Campbell

    Publication Year: 2007, Page(s):1133 - 1137
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  • Future Special Issues/Special Sections of the Proceedings

    Publication Year: 2007, Page(s):1138 - 1139
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  • IEEE order form for reprints

    Publication Year: 2007, Page(s): 1140
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  • Put your technology leadership in writing

    Publication Year: 2007, Page(s): C3
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  • Coming in June the Proceedings of the IEEE

    Publication Year: 2007, Page(s): C4
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Meet Our Editors

Editor-in-Chief
H. Joel Trussell
North Carolina State University