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Journal of Information Science and engineering: Editorial notice

Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

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Corrections to “Stability of Multidimensional Systems Using Genetic Algorithms”

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IEEE Transactions on Circuits and Systems I: Regular Papers 2005年第9期52卷 1982-1982页

作者： N.E. Mastorakis I.F. Gonos M.N.S. Swamy Department of Computer Science Military Institution Hellenic Naval Academy University Education Piraeus Greece High Voltage Laboratory School of Electrical and Computer Engineering National and Technical University of Athens Athens Greece Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

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A robust algorithm for automatic target recognition using passive radar

A robust algorithm for automatic target recognition using pa...

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Southeastern Symposium on System Theory

作者： L.M. Ehrman A.D. Lanterman Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Center for Signal and Image Processing Georgia Institute of Technology Altanta GA

The goal of this research is to add automatic target recognition (ATR) capabilities to existing passive radar systems. We do so by comparing the radar cross section (RCS) of detected targets to the precomputed RCS of known targets in the target class. The precomputed RCS of the targets comprising the target class is modeled using a multi-step process involving programs such as the fast Illinois solver code (FISC). Advanced refractive effects prediction system (AREPS) and numerical electromagnetic code (NEC2). A Rician likelihood model compares the power profile of the detected target to the precomputed power profiles of the targets in the target class; this comparison results in target identification. Thus far, the results of simulations are encouraging, indicating that the algorithm correctly identifies aircraft with high probability at the anticipated noise level. Performance can be expected to decline as the noise power surpasses the maximum signal power.

关键词： Robustness Target recognition Passive radar Power system modeling Radar cross section Radar detection Electromagnetic refraction Rician channels Aircraft Noise level

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Estimation of elliptically contoured mixture models for hyperspectral imaging data

Estimation of elliptically contoured mixture models for hype...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M.D. Farrell R.M. Mersereau Center for Signal & Image Processing School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA

Gaussian mixture modeling (GMM) has become a popular method for representing the statistical variability of spectrally inhomogeneous hyperspectral imaging (HSI) data. Finite mixture models can be applied to image segmentation, which can be considered a sort of blind classification, which is useful when there is no a priori information available about the materials in the scene. However, the GMM approach can be insufficient for many HSI data sets since the Gaussian has fixed narrow tails, uncharacteristic of operational HSI data. Elliptically contoured distributions (ECDs), specifically the multivariate t, have been shown to better fit HSI data. In this paper we develop mixtures of ECDs for the task of robustly modeling hyperspectral image data. An approach based on the EM algorithm is developed for concurrently estimating all parameters in a t mixture, assuming nothing but that the number of components are known. Results from the automatic segmentation of AVIRIS data illustrate the utility of t mixture models using this EM approach for parameter estimation.

关键词： Hyperspectral imaging Hyperspectral sensors Layout Probability distribution image segmentation Robustness Parameter estimation Shape control signal processing image processing

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Near field imaging of subsurface targets using active arrays and elastic waves

Near field imaging of subsurface targets using active arrays...

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IEEE Digital signal processing Workshop

作者： M. Alam J.H. McClellan Center of Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This paper presents a time-reversal based approach for detecting the positions of subsurface passive targets like landmines. The measurements are made by using sources and sensors placed on the surface. The imaging algorithm uses the seismic waves reflected from the targets, and measured on the surface. A time-reversal based algorithm is used, which utilizes the possible link between the time-reversal matrix and the covariance matrix used in standard array processing. It is shown that the time-reversal matrix can be used to estimate the near field DOA and range parameters using a 2D MUSIC approach.

关键词： signal processing algorithms Surface waves Green's function methods Covariance matrix Reflection Soil measurements Rayleigh scattering Particle scattering Seismic measurements Seismic waves

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A comparison of the octave-band directional filter bank and gabor filters for texture classification

A comparison of the octave-band directional filter bank and ...

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2004 International Conference on image processing, ICIP 2004

作者： Hong, Paul S. Kaplan, Lance M. Smith, Mark J. T. Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA 30332 United States Center for Theoretical Studies of Physical Systems Clark Atlanta University Atlanta GA 30314 United States School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907 United States

ISBN: (纸本)0780385543

This paper investigates the similarities between Gabor filters and the octave-band directional filter bank (OBDFB) with respect to texture classification. Both decompositions can discriminate angularly and radially in the 2-D frequency domain;however, the OBDFB has a computationally efficient implementation that makes it an attractive alternative to Gabor filters. An analysis of local energy features from Gabor filters and the OBDFB is presented showing similarities between their texture features. Texture classification experiments using both decompositions show comparable classification accuracy. © 2004 IEEE.

关键词： Textures

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Multiple-mode Kalman filtering with node selection using bearings-only measurements

Multiple-mode Kalman filtering with node selection using bea...

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Southeastern Symposium on System Theory

作者： Qiang Le L.M. Kaplan J.H. McClellan CTSPS Department of Engineering Clark Atlanta University Atlanta GA USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This work investigates multiple-mode tracking method with node selection using bearings-only measurements. We combine multiple-mode extended Kalman filter with node resource management to conserve energy while tracking a maneuvering target. Experiments using real data show that the MM adapts quicker to target maneuvers than the realizable single-mode tracker. Additional experiments show that the simplex node selection leads to better geolocation performance compared to the closest node selection when the number of active nodes is set to two.

关键词： Kalman filters Filtering Target tracking Resource management Batteries Military computing Intelligent sensors Direction of arrival estimation Electric variables measurement signal processing

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Direction-of-arrival estimation of wideband sources using arbitrary shaped multidimensional arrays

Direction-of-arrival estimation of wideband sources using ar...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Yeo-Sun Yoon L.M. Kaplan J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA CTSPS Department of Engineering Clark Atlanta University Atlanta GA USA

We generalize a new incoherent wideband direction-of-arrival (DOA) estimation algorithm that provides higher resolution than traditional incoherent techniques. The new method is able to better adjust its beam response when multiple sources are present than incoherent MUSIC. The original algorithm was designed to work strictly for an uniform linear array. In this paper, we demonstrate how to generalize the algorithm to work over arbitrary 1D or 2D arrays. We demonstrate the higher resolution of the new algorithm against incoherent MUSIC for 1D and 2D arrays using simulations of two source signals.

关键词： Direction of arrival estimation Wideband Multidimensional systems Frequency estimation Matrix decomposition Narrowband Multiple signal classification Sensor arrays signal resolution Wireless communication

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A comparison of the octave-band directional filter bank and Gabor filters for texture classification

A comparison of the octave-band directional filter bank and ...

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IEEE International Conference on image processing

作者： P.S. Hong L.M. Kaplan M.J.T. Smith Center for Signal and Image Processing Georgia Institute of Technology Atlanta Georgia USA Center for Theoretical Studies of Physical Systems Clark Atlanta University Atlanta Georgia School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA

This paper investigates the similarities between Gabor filters and the octave-band directional filter bank (OBDFB) with respect to texture classification. Both decompositions can angularly and radially discriminate in the 2-D frequency domain; however, the OB-DFB has a computationally efficient implementation that makes it an attractive alternative to Gabor filters. An analysis of local energy features from Gabor filters and the OBDFB is presented showing similarities between their texture features. Texture classification experiments using both decompositions show comparable classification accuracy.

关键词： Filter bank Gabor filters Feature extraction image processing Frequency domain analysis image texture analysis Pixel signal processing Physics computing Systems engineering and theory

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Activation detection in multi-subject studies of fMRI using GLRT

Activation detection in multi-subject studies of fMRI using ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S.M. Shams G.A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics University of Tehran School of Cognitive Sciences Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System University of Tehran School of Cognitive Sciences Iran

A new method based on generalized likelihood ratio test (GLRT) for activation detection in multi-subject studies of functional MRI (fMRI) is proposed. In this method, we test the correlation between the fMRI time series of different subjects and the bases of a signal subspace which increases the flexibility of method in detecting different shapes of hemodynamic response. The proposed multivariate method can be applied to group studies where the conventional cross-correlation method cannot be used due to its univariate property. This method is applied to both experimental and simulated fMRI data and the results are compared to those of general linear model (GLM). We show that the proposed method detects more significant activated regions in analyzing experimental data and more true voxels in simulated data

关键词： Testing Hemodynamics Brain modeling Process control Intelligent control Physics computing Mathematics Time series analysis Magnetic resonance imaging Data analysis

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