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Complete software package for MR signal processing

Complete software package for MR signal processing

引用

Proceedings of the 1996 18th Annual International conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5)

作者： van den Boogaart, Aad Cavassila, Sophie Vanhamme, Leentje Totz, Jens Van Hecke, Paul Katholieke Universiteit Leuven Leuven Belgium

Magnetic resonance spectroscopy (MRS) offers a wealth of information to the biochemist or radiologist. Metabolite concentrations, J-couplings, pH, ion concentrations and gradients, temperature, etc., can all be obtained, in situ, from well-defined volumes in the human body, and in a totally non-invasive way. However, simple methods such as peak area integration or automatic line fitting in the FT MR spectrum are still relied on for routine MRS data analysis. The disadvantages of such methods are tolerated in order to keep processing fast and simple for the spectroscopist. We have developed a graphical user interface, in which advanced time domain signal processing methods are combined. We present a complete software package for routine MR data analysis, called MRUI, enabling the use of advanced parameter estimation algorithms with incorporation of prior knowledge via simple menus and spectral displays, in a fashion similar to the spectroscopist's spectrometer software.

关键词： Computer software

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MoCA workbench: Support for creativity in movie content analysis

MoCA workbench: Support for creativity in movie content anal...

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Proceedings of the 1996 International conference on Multimedia Computing and Systems

作者： Lienhart, Rainer Pfeiffer, Silvia Effelsberg, Wolfgang Univ of Mannheim Mannheim Germany

Semantic access to the content of a video is highly desirable for multimedia content retrieval. Automatic extraction of semantics requires content analysis algorithms. Our MoCA (Movie Content Analysis) project provides an interactive workbench supporting the researcher in the development of new movie content analysis algorithms. The workbench offers data management facilities for large amounts of video/audio data and derived parameters. It also provides an easy-to-use interface for a free combination of basic operators into more sophisticated operators. We can combine results from video track and audio track analysis. The MoCA Workbench shields the researcher from technical details and provides advanced visualization capabilities, allowing attention to focus on the development of new algorithms. The paper presents the design and implementation of the MoCA Workbench and reports practical experience.

关键词： Video signal processing

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Performance analysis of a wavelet-based hybrid neurosystem for signal classification

Performance analysis of a wavelet-based hybrid neurosystem f...

引用

4th conference on Wavelet Applications in signal and Image processing

作者： Nguyen, CT Gong, KF USN UNDERSEA WARFARE CTRDIV NEWPORTNEWPORTRI 02841

ISBN: (纸本)0819422134

This paper is concerned with the problem of determining performance of a wavelet-based hybrid neurosystem trained to provide efficient feature extraction and signal classification. The hybrid network consists of a parallel array of neurosystems. Each neurosystem is constructed with three single neural networks; two of which are feature extraction networks, and the other is a classification network, are provided with magnitude and location information of the wavelet transform coefficients, respectively, and are trained with self-organizing rules. Their outputs are then presented to the classification network for pattern recognition. Based on the topological maps provided by the feature extraction neural networks, the back-propagation algorithm is used to train the third network for pattern recognition. The combination of wavelet, wavelet transform, and hybrid neural network architecture and advanced training algorithms in the design makes the system unique and provides high classification accuracy. In this paper, system performance is shown to be intrinsically related to basis kernel function used in feature extraction. A method for selecting the optimal basis function and a performance analysis using simulated data under various noise condition are presented and compared against other pattern recognition techniques.

关键词： wavelets hybrid neurosystem hybrid architecture signal classifications pattern recognition

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Mixed-signal CNN array chips for image processing

Mixed-signal CNN array chips for image processing

引用

conference on advanced Focal Plane Arrays and Electronic Cameras (AFPAEC 96)

作者： RodriguezVazquez, A Espejo, S DominguezCastro, R Carmona, R Roca, E Univ. de Sevilla (Spain)

ISBN: (纸本)0819423548

Due to their local connectivity and wide functional capabilities, Cellular Nonlinear Networks (CNN) are excellent candidates for the implementation of image processing algorithms using VLSI analog parallel arrays. However, the design of general purpose, programmable CNN chips with dimensions required for practical applications raises many challenging problems to analog designers. This is basically due to the fact that large silicon area means large development cost, large spatial deviations of design parameters and low production yield. CNN designers must face different issues to keep reasonable enough accuracy level and production yield together with reasonably low development cost in their design of large CNN chips. This paper outlines some of these major issues and their solutions.

关键词： Analog electronics Computer aided design Image processing Digital electronics Power supplies Transistors Silicon Molybdenum Capacitors Feedback control

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The CREST challenge, overview and analysis

The CREST challenge, overview and analysis

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Asilomar conference on signals, Systems & Computers

作者： P.A. Zulch USAF Rome Laboratory Advanced Technology Branch Rome NY USA

In support of the Defense advanced Research Projects Agency advanced signal processing program a challenge had been issued to the radar and signal processing community. Several simulated data sets that emulate a flying phased array surveillance radar were created and placed on the World Wide Web as a challenge to resolve all target information. All data sets for the challenge were created with the Rome Laboratory Space Time Adaptive processing Algorithm Development Tool. This paper describes to date the properties of the data sets, the generation of the data sets, and some preliminary analysis using standard baseline space time adaptive processing algorithms.

关键词： Radar signal processing signal processing algorithms Array signal processing Phased arrays Adaptive signal processing Surveillance Web sites signal resolution Laboratories Algorithm design and analysis

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Airborne target identification from low crossrange resolution ISAR imagery

Airborne target identification from low crossrange resolutio...

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conference on Radar processing, Technology, and Applications

作者： Hauss, BI Agravante, HH Eberhard, CD Luebkemann, KM Samec, TK Wagner, TM Rihaczek, AW Hershkowitz, SJ Mitchell, RL Perahia, E Arnush, D Lakshmanan, S TRW Inc. (United States) MARK Resources Inc. (United States) Westwind Engineering Inc. (United States) Univ. of Michigan/Dearborn (United States)

ISBN: (纸本)0819422339

In a target-rich battlefield environment, a shipboard or an airborne radar must maintain situational awareness while tracking and identifying targets. Often the opportunity to dwell on each target long enough for confident identification via high resolution SAR/ISAR imaging will not exist, especially for those engagement geometries where the relative translational motion of the aircraft does not result in large rotation rates. Inadvertent aircraft tactical dither often generates enough target rotation during a brief imaging interval to allow the formation of an ISAR image with low crossrange resolution. We have developed an automated identification procedure that utilizes this resolution, along with high range resolution, to produce confident target identification. The advanced signal processing algorithms employed extract feature measurements from the complex ISAR image, including accurate measurements of the two-dimensional positions, amplitudes and range extents of the dominant target scatterers. A deformable template matching procedure is used to correlate these ''measured features'' with those predicted for each candidate aircraft in a database generated from readily available diagrams, photographs and CAD models. After obtaining the optimal fit between the measured and predicted features for each candidate aircraft, the ''most likely'' candidate is selected using a conventional Bayes classifier.

关键词： non-cooperative target identification SAR/ISAR imaging radar signal processing 2-D radar imaging

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SYNTHESIS OF NON-REGULAR MULTITONE signalS AND algorithms OF THEIR processing

SYNTHESIS OF NON-REGULAR MULTITONE SIGNALS AND ALGORITHMS OF...

引用

1996 3rd International conference on signal processing(ICSP’96)

作者： V.M.KUTUZOV Research Institute of Radio-Electronic Systems for Emergency Prediction

A new approach of irreqular multifrequency signal processing for SW and ultra SW radar is *** signals have advanced noise stability to noise background duc to the flexible energy distriibution in spectral range. They have improved electromagnetic comparison with another electronic systems. A number of parametric algorithms were synthesized for irregular multifreguency signal processing. They are based on autoregressive model *** results of signal-algorithm approbation are *** approbation was completed with help of experimental SW radar of sea surface monitoring.

关键词： SYNTHESIS OF NON-REGULAR MULTITONE signalS AND algorithms OF THEIR processing ARP

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Advances in signal processing technology for electronic warfare

Advances in signal processing technology for electronic warf...

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IEEE National conference on Aerospace and Electronics (NAECON)

作者： J.P. Stephens Avionics Directorate Electronic Warfare Division Wright Laboratories USA

The denial of effective communications by enemy forces during hostile military operations has been a primary concern for military commanders since the inception of radio communications on the battlefield before World War II. Since then, the electromagnetic environment has been in a constant state of evolution toward more sophisticated jam-resistant and convert forms of modulation. The thrust of this paper focuses on developments in the theory and algorithms for detection, characterization, and exploitation of advanced waveforms using new mathematical signal processing tools introduced within the past decade. Specifically, quadratic time-frequency signal representations, wavelet transforms, and cyclostationary signal processing are introduced. This overview demonstrates the importance of these advanced techniques in a clear and concise manner. Applications and future research activities are described in this significant area that is gaining much attention in a variety of technical fields.

关键词： signal processing Electronic warfare signal processing algorithms Military communication Communication effectiveness Radio communication Electromagnetic forces Time frequency analysis signal representations Wavelet transforms

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An algorithm for exhaustive extrema computation and its application to array signal processing

An algorithm for exhaustive extrema computation and its appl...

引用

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

作者： R. Tweg B. Porat RAFAEL Advanced Defense Systems Limited Haifa Israel Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel

This paper presents an algorithm for exhaustive extrema computation of one-dimensional cost functions. Its applicability to array signal processing is demonstrated. We use it for antenna array design, and to solve a m... 详细信息

关键词： signal processing algorithms Computer applications Array signal processing Phased arrays Cost function Multiple signal classification Directive antennas Antenna arrays Spectral analysis Algorithm design and analysis

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The ARPA/NAVY Mountaintop Program: adaptive signal processing for airborne early warning radar

The ARPA/NAVY Mountaintop Program: adaptive signal processin...

引用

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

作者： G.W. Titi D.F. Marshall MIT Lincoln Laboratories Lexington MA USA

The Mountaintop Program is an ARPA/NAVY sponsored initiative started in 1990 to study advanced processing techniques and technologies required to support the mission requirements of next generation airborne early warning (AEW) platforms. Central to the effort is a surveillance radar measurements program executed from various mountaintop locations including field sites at the White Sands Missile Range (WMSR), New Mexico and the Pacific Missile Range Facility (PMRF), Hawaii. The program is collecting data to support the evaluation of space-time adaptive processing (STAP) algorithms and the characterization and modeling of monostatic and bistatic scattering. Some of the data collected is hosted in CREST, the Common Research Environment for STAP, at the Maui High Performance Computing Center (MHPCC) and is accessible to the digital signal processing community via the World Wide Web. A subset of that data has been provided for inclusion in the IEEE signal processing Information Base at Rice University. This paper includes a discussion of program objectives and test segments and a description of the program's assets, field sites, and data product. A companion off-line demonstration of AEW signal processing concepts, using Mountaintop data available at the MHPCC, is planned.

关键词： Adaptive signal processing Missiles signal processing Surveillance Radar measurements signal processing algorithms Radar scattering High performance computing Digital signal processing Web sites

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