Current Search: Glenn, William E. (x)
Pages
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Title
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Single sensor color video processing.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2005-09
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PURL
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http://purl.flvc.org/fcla/dt/15871
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Format
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Document (PDF)
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Title
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Color projector apparatus and method.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2005-06
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PURL
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http://purl.flvc.org/fcla/dt/15870
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Format
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Document (PDF)
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Title
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Color video camera system and method.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2005-05
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PURL
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http://purl.flvc.org/fcla/dt/15872
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Format
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Document (PDF)
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Title
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Displays using solid state light sources.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2004-11
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PURL
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http://purl.flvc.org/fcla/dt/15799
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Format
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Document (PDF)
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Title
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Color video camera system and method with optical prefilter.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2004-08
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PURL
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http://purl.flvc.org/fcla/dt/15810
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Format
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Document (PDF)
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Title
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Ultrasonic scanning method and apparatus.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2004-03
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PURL
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http://purl.flvc.org/fcla/dt/15814
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Format
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Document (PDF)
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Title
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Apparatus and Method for Producing Video Signals.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2003-09
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PURL
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http://purl.flvc.org/fcla/dt/15827
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Format
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Document (PDF)
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Title
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Apparatus and method for producing video signals.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2003-09
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PURL
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http://purl.flvc.org/fcla/dt/15820
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Format
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Document (PDF)
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Title
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Enhancing video quality based on psychophysical studies of smooth pursuit eye movements.
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Creator
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Chilamakuri, Pavani., Florida Atlantic University, Furht, Borko, Glenn, William E., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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When motion occurs in a scene, the quality of video degrades due to motion smear, which results in a loss of contrast in the image. The characteristics of the human vision system when smooth pursuit eye movements occur are different from those when the eye fixates on an object such as a video screen during motion. Smooth pursuit eye movements dominate in the presence of dynamic stimuli. In the presence of smooth pursuit eye movements, the contrast sensitivity for increasing target velocities...
Show moreWhen motion occurs in a scene, the quality of video degrades due to motion smear, which results in a loss of contrast in the image. The characteristics of the human vision system when smooth pursuit eye movements occur are different from those when the eye fixates on an object such as a video screen during motion. Smooth pursuit eye movements dominate in the presence of dynamic stimuli. In the presence of smooth pursuit eye movements, the contrast sensitivity for increasing target velocities shifts toward lower spatial frequencies. The sensitivity for low spatial frequencies during motion is higher than for a stationary case. This dissertation will propose a method to improve the perceptual quality of video using temporal enhancement prefiltering technique based on the characteristics of Smooth Pursuit Eye Movements (SPEM). The resulting technique closely matches the characteristics of the human visual system (HVS). When motion occurs, the eye tracks the moving targets in a scene as opposed to fixating on any portion of the scene. Hence, psychophysical studies of smooth pursuit eye movements were used as a basis to design the temporal filters. Results of experiments show that temporal enhancement results in improved quality by increasing the apparent sharpness of the image sequence. In this dissertation, a study of research describing how motion affects the image quality at the camera lens and the human eye is presented. This dissertation uses that research to develop a temporal enhancement technique to improve the quality of video degraded by motion.
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Date Issued
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2003
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PURL
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http://purl.flvc.org/fau/fd/FADT12035
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Subject Headings
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Eye--Movements, Digital video, Visual perception, Video compression
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Format
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Document (PDF)
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Title
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Method and apparatus for image sensing with CCD.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2002-10
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PURL
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http://purl.flvc.org/fcla/dt/15829
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Format
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Document (PDF)
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Title
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Color video camera method and apparatus for film origination.
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Creator
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Glenn, William E., Marcinka, John W., Florida Atlantic University
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Date Issued
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2002-10
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PURL
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http://purl.flvc.org/fcla/dt/15830
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Format
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Document (PDF)
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Title
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Single sensor video camera system and method.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2001-10
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PURL
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http://purl.flvc.org/fcla/dt/15831
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Format
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Document (PDF)
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Title
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Two dimensional ultrasonic scanning system and method.
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Creator
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Glenn, William E., Dinev, Petko D., Florida Atlantic University
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Date Issued
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2001-10
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PURL
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http://purl.flvc.org/fcla/dt/15835
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Format
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Document (PDF)
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Title
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Color video camera method and system.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2001-07
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PURL
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http://purl.flvc.org/fcla/dt/15834
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Format
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Document (PDF)
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Title
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Color video processing system and method.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2001-03
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PURL
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http://purl.flvc.org/fcla/dt/15836
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Format
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Document (PDF)
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Title
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HVS-based wavelet color image coding.
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Creator
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Guo, Linfeng., Florida Atlantic University, Glenn, William E., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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This work is an attempt of incorporating the latest advances in vision research and signal processing into the field of image coding. The scope of the dissertation is twofold. Firstly, it sets up a framework of the wavelet color image coder and makes optimizations of its performance. Secondly, it investigates the human vision models and implements human visual properties into the wavelet color image coder. A wavelet image coding framework consisting of image decomposition, coefficients...
Show moreThis work is an attempt of incorporating the latest advances in vision research and signal processing into the field of image coding. The scope of the dissertation is twofold. Firstly, it sets up a framework of the wavelet color image coder and makes optimizations of its performance. Secondly, it investigates the human vision models and implements human visual properties into the wavelet color image coder. A wavelet image coding framework consisting of image decomposition, coefficients quantization, data representation, and entropy coding is first set up, and then a couple of unsolved issues of wavelet image coding are studied and the consequent optimization schemes are presented and applied to the basic framework. These issues include the best wavelet bases selection, quantizer optimization, adaptive probability estimation in arithmetic coding, and the explicit transmission of significant map of wavelet data. Based on the established wavelet image coding framework, a human visual system (HVS) based adaptive color image coding scheme is proposed. Compared with the non-HVS-based coding methods, our method results in a superior performance without any cost of additional side information. As the rudiments of the proposed HVS-based coding scheme, the visual properties of the early stage of human vision are investigated first, especially the contrast sensitivity, the luminance adaptation, and the complicated simultaneous masking and crossed masking effects. To implement these visual properties into the wavelet image coding, the suitable estimation of local background luminance and contrast in the wavelet domain is also re-investigated. Based upon these prerequisite works, the effects of contrast sensitivity weighting and luminance adaptation are incorporated into our coding scheme. Furthermore, the mechanisms of all kinds of masking effects in color image, e.g., the self-masking, the neighbor masking, the crossbands masking, and the luminance-chrominance crossed-masking, are also studied and properly utilized into the coding scheme through an adaptive quantization scheme. Owing to elaborate arrangement and integration of the different parts of the perception based quantization scheme, the coefficient-dependent adaptive quantization step size can be losslessly restored during the decoding without any overhead of side information.
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Date Issued
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2001
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PURL
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http://purl.flvc.org/fcla/dt/11941
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Subject Headings
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Wavelets (Mathematics), Image processing--Digital techniques
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Format
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Document (PDF)
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Title
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Light valve projector apparatus and technique.
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Creator
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Glenn, William E., Florida Atlantic University
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Date Issued
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2000-06
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PURL
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http://purl.flvc.org/fcla/dt/15839
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Format
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Document (PDF)
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Title
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Two dimensional ultrasonic scanning system and method.
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Creator
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Glenn, William E., Dinev, Petko D., Florida Atlantic University
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Date Issued
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2000-05
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PURL
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http://purl.flvc.org/fcla/dt/15838
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Format
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Document (PDF)
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Title
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Reflective optically active diffractive device.
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Creator
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Bos, Philip J., Chen, Jianmin, Johnson, David L., Glenn, William E., Holton, Carvel E., Smith, Brett E., Florida Atlantic University
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Date Issued
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1998-10
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PURL
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http://purl.flvc.org/fcla/dt/15840
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Format
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Document (PDF)
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