Relevant bibliographies by topics / Optical data processing

Academic literature on the topic 'Optical data processing'

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Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Optical data processing"

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Teller, J., F. Ozguner, and R. Ewing. "Data processing through optical interfaces." IEEE Aerospace and Electronic Systems Magazine 24, no. 10 (October 2009): 42–43. http://dx.doi.org/10.1109/maes.2009.5317786.

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Vâle, G., and A. Krûminsh. "Active Media for Optical Data Processing." Materials Science Forum 384-385 (January 2002): 329–32. http://dx.doi.org/10.4028/www.scientific.net/msf.384-385.329.

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Wu, Yarning, Liren Liu, and Zhijiang Wang. "Optical programmable shifting for data processing." Applied Optics 32, no. 26 (September 10, 1993): 4989. http://dx.doi.org/10.1364/ao.32.004989.

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Brenner, Karl-Heinz, and Adolf W. Lohmann. "Cyclic shifting for optical data processing." Applied Optics 27, no. 3 (February 1, 1988): 434. http://dx.doi.org/10.1364/ao.27.000434.

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Mehta, P. C. "Recent trends in optical data processing." Hyperfine Interactions 37, no. 1-4 (December 1987): 325–45. http://dx.doi.org/10.1007/bf02395719.

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NAGAE, Sadahiko. "Pattern Recognition by Optical Data Processing (3)." Journal of Graphic Science of Japan 20, no. 2 (1986): 7–13. http://dx.doi.org/10.5989/jsgs.20.2_7.

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MOTOYA, Yoshinobu. "Data Processing Employing an Optical Disk System." Zisin (Journal of the Seismological Society of Japan. 2nd ser.) 41, no. 3 (1988): 411–17. http://dx.doi.org/10.4294/zisin1948.41.3_411.

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Fateev, V. F., and A. P. Aleshkin. "Processing of multiple-site optical measurement data." Journal of Optical Technology 67, no. 7 (July 1, 2000): 634. http://dx.doi.org/10.1364/jot.67.000634.

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Kohler, D., M. Staehelin, and I. Zschokke-graenacher. "Organic Molecular Crystals for Optical Data Processing." Molecular Crystals and Liquid Crystals Science and Technology. Section A. Molecular Crystals and Liquid Crystals 229, no. 1 (May 1993): 117–22. http://dx.doi.org/10.1080/10587259308032184.

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Bräuchle, Ch, and N. Hampp. "The biopolymer bacteriorhodopsin in optical data processing." Makromolekulare Chemie. Macromolecular Symposia 50, no. 1 (October 1991): 97–105. http://dx.doi.org/10.1002/masy.19910500111.

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Dissertations / Theses on the topic "Optical data processing"

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Brand, Ulrich. "Optical data processing in high-NA imaging." Thesis, King's College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393167.

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R, S. Umesh. "Algorithms for processing polarization-rich optical imaging data." Thesis, Indian Institute of Science, 2004. https://etd.iisc.ac.in/handle/2005/96.

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This work mainly focuses on signal processing issues related to continuous-wave, polarization-based direct imaging schemes. Here, we present a mathematical framework to analyze the performance of the Polarization Difference Imaging (PDI) and Polarization Modulation Imaging (PMI). We have considered three visualization parameters, namely, the polarization intensity (PI), Degree of Linear Polarization (DOLP) and polarization orientation (PO) for comparing these schemes. The first two parameters appear frequently in literature, possibly under different names. The last parameter, polarization orientation, has been introduced and elaborated in this thesis. We have also proposed some extensions/alternatives for the existing imaging and processing schemes and analyzed their advantages. Theoretically and through Monte-Carlo simulations, we have studied the performance of these schemes under white and coloured noise conditions, concluding that, in general, the PMI gives better estimates of all the parameters. Experimental results corroborate our theoretical arguments. PMI is shown to give asymptotically efficient estimates of these parameters, whereas PDI is shown to give biased estimates of the first two and is also shown to be incapable of estimating PO. Moreover, it is shown that PDI is a particular case of PMI. The property of PDI, that it can yield estimates at lower variances has been recognized as its major strength. We have also shown that the three visualization parameters can be fused to form a colour image, giving a holistic view of the scene. We report the advantages of analyzing chunks of data and bootstrapped data under various circumstances. Experiments were conducted to image objects through calibrated scattering media and natural media like mist, with successful results. Scattering media prepared with polystyrene microspheres of diameters 2.97m, 0.06m and 0.13m dispersed in water were used in our experiments. An intensified charge coupled device (CCD) camera was used to capture the images. Results showed that imaging could be performed beyond optical thickness of 40, for particles with 0.13m diameter. For larger particles, the depth to which we could image was much lesser. An experiment using an incoherent source yielded better results than with coherent sources, which we attribute to the speckle noise induced by coherent sources. We have suggested a harmonic based imaging scheme, which can perhaps be used when we have a mixture of scattering particles. We have also briefly touched upon the possible post processing that can be performed on the obtained results, and as an example, shown segmentation based on a PO imaging result.
This research was carried out with the support of Prof Hema Ramachandran of Raman Research Institute, Bangalore. Our thanks to her and RRI.
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R, S. Umesh. "Algorithms for processing polarization-rich optical imaging data." Thesis, Indian Institute of Science, 2004. http://hdl.handle.net/2005/96.

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This work mainly focuses on signal processing issues related to continuous-wave, polarization-based direct imaging schemes. Here, we present a mathematical framework to analyze the performance of the Polarization Difference Imaging (PDI) and Polarization Modulation Imaging (PMI). We have considered three visualization parameters, namely, the polarization intensity (PI), Degree of Linear Polarization (DOLP) and polarization orientation (PO) for comparing these schemes. The first two parameters appear frequently in literature, possibly under different names. The last parameter, polarization orientation, has been introduced and elaborated in this thesis. We have also proposed some extensions/alternatives for the existing imaging and processing schemes and analyzed their advantages. Theoretically and through Monte-Carlo simulations, we have studied the performance of these schemes under white and coloured noise conditions, concluding that, in general, the PMI gives better estimates of all the parameters. Experimental results corroborate our theoretical arguments. PMI is shown to give asymptotically efficient estimates of these parameters, whereas PDI is shown to give biased estimates of the first two and is also shown to be incapable of estimating PO. Moreover, it is shown that PDI is a particular case of PMI. The property of PDI, that it can yield estimates at lower variances has been recognized as its major strength. We have also shown that the three visualization parameters can be fused to form a colour image, giving a holistic view of the scene. We report the advantages of analyzing chunks of data and bootstrapped data under various circumstances. Experiments were conducted to image objects through calibrated scattering media and natural media like mist, with successful results. Scattering media prepared with polystyrene microspheres of diameters 2.97m, 0.06m and 0.13m dispersed in water were used in our experiments. An intensified charge coupled device (CCD) camera was used to capture the images. Results showed that imaging could be performed beyond optical thickness of 40, for particles with 0.13m diameter. For larger particles, the depth to which we could image was much lesser. An experiment using an incoherent source yielded better results than with coherent sources, which we attribute to the speckle noise induced by coherent sources. We have suggested a harmonic based imaging scheme, which can perhaps be used when we have a mixture of scattering particles. We have also briefly touched upon the possible post processing that can be performed on the obtained results, and as an example, shown segmentation based on a PO imaging result.
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Fujinaga, Ichiro. "Optical music recognition using projections." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61870.

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TICKNOR, ANTHONY JAMES. "OPTICAL COMPUTING IN BOLTZMANN MACHINES." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184169.

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This dissertation covers theoretical and experimental work on applying optical processing techniques ot the operation of a Boltzmann machine. A Boltzmann machine is a processor that solves a problem by iteratively optimizing an estimate of the solution. The optimization is done by finding a minimum of an energy surface over the solution space. The energy function is designed to consider not only data but also a priori information about the problem to assist the optimization. The dissertation first establishes a generic line-of-approach for designing an algorithmic optical computer that might successfully operate using currently realizable analog optical systems for highly-parallel operations. Simulated annealing, the algorithm of the Boltzmann machine, is then shown to be adaptable to this line-of-approach and is chosen as the algorithm to demonstrate these concepts throughout the dissertation. The algorithm is analyzed and optical systems are outlined that will perform the appropriate tasks within the algorithm. From this analysis and design, realizations of the optically-assisted Boltzmann machine are described and it is shown that the optical systems can be used in these algorithmic computations to produce solutions as precise as the single-pass operations of the analog optical systems. Further considerations are discussed for increasing the usefulness of the Boltzmann machine with respect to operating on larger data sets while maintaining the full degrees of parallelism and to increasing the speed by reducing the number of electronical-optical transducers and by utilizing more of the available parallelism. It is demonstgrated how, with a little digital support, the analog optical systems can be used to produce solutions with digital precision but without compromising the speed of the optical computations. Finally there is a short discussion as to how the Boltzmann machine may be modelled as a neuromorphic system for added insight into the computational functioning of the machine.
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Naulleau, Patrick. "Optical signal processing and real world applications /." Online version of thesis, 1993. http://hdl.handle.net/1850/12136.

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Svensson, Barbro Christina. "Nonlinear distributed couplers in zinc-sulfide waveguides." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184500.

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Nonlinear phenomena originating from the distributed coupling process were observed when distributed couplers, such as prisms and gratings, were used to couple light into nonlinear ZnS thin film waveguides. The efficiency of the nonlinear distributed coupling process was found to depend on two independent parameters, the angle of the incident beam and the power of the incident beam. Depending on the detuning of the incident angle, from the optimum incident angle at low powers, either optical limiting, power-dependent switching, or power-dependent bistability of the coupling efficiency, and thereby of the in-coupled power, was observed. At zero detuning, a twenty-fold decrease of the coupling efficiency with increasing powers was measured. At a nonzero detuning of the incident angle, power-dependent switching at milliwatt powers was observed. At larger angular detunings, corresponding to the angular width. FWHM, of the coupling peak at low powers, power-dependent bistability was observed, and the width of the bistability loop was found to increase with increasing detunings. All-optical beam scanning via a nonlinear grating coupler was also demonstrated, utilizing a control-signal beam configuration, where the signal beam scanned through an angle of 0.5° when the power of the control beam was varied. The observed nonlinearity in ZnS was positive and of thermal origin. The power-induced change in the refractive index was found to be 0.01 and a relaxation time of 10 μsec was measured. Problems with the long-term stability of the nonlinear distributed coupling process were traced to the occurrence of desorption and adsorption of water vapor in the ZnS films.
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Sitter, David Norbert. "Space invariant modeling in three-dimensional optical image formation." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/13450.

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Wang, Jade P. (Jade Peilynn) 1979. "Demonstrating effective all-optical processing in ultrafast data networks using semiconductor optical amplifiers." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44907.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references.
The demand for bandwidth in worldwide data networks continues to increase due to growing Internet use and high-bandwidth applications such as video. All-optical signal processing is one promising technique for providing the necessary capacity and offers payload transparency, power consumption which scales efficiently with increasing bit rates, reduced processing latency, and ultrafast performance. In this thesis, we focus on using semiconductor optical amplifier-based logic gates to address both routing and regeneration needs in ultrafast data networks. To address routing needs, we demonstrate a scalable, multi-packet all-optical header processing unit operating at a line rate of 40 Gb/s. For this experiment, we used the ultrafast nonlinear interferometer (UNI) gate, a discrete optical logic gate which has been demonstrated at speeds of 100 Gb/s for bit-wise switching. However, for all-optical switching to become a reality, integration is necessary to significantly reduce the cost of manufacturing, installation, and operation. One promising integrated all-optical logic gate is the semiconductor optical amplifier Mach-Zehnder interferometer (SOA-MZI). This gate has previously been demonstrated capable of up to 80 Gb/s bit-wise switching operation. To enable simple installation and operation of this gate, we developed a performance optimization method which can quickly and accurately pinpoint the optimal operating point of the switch. This eliminates the need for a time-intensive search over a large parameter space and significantly simplifies the operation of the switch. With this method, we demonstrate the ability of a single SOA-MZI logic gate to regenerate ultrafast pulses over 100 passes and 10,000 km in a regenerative loop. Ultimately, all-optical logic gates must be integrated on a single low-cost platform and demonstrated in cascaded, multi-gate operation for increased functionality.
(cont.) This requires low-loss monolithic integration. Our approach to this involves an asymmetric twin waveguide (ATG) design. This design also has the potential for high-yields as a result of a high tolerance for fabrication errors. We present our characterization results of ATG waveguides and proposals for future improvements.
by Jade P. Wang.
Ph.D.
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Subramaniam, Suresh. "All-optical networks with sparse wavelength conversion /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6032.

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Books on the topic "Optical data processing"

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Ahmad, Falih. Optical information processing. Trivandrum, Kerala, India: Research Signpost, 2008.

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Bahram, Javidi, and Horner Joseph L, eds. Real-time optical information processing. Boston: Academic Press, 1994.

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Das, Pankaj K. Optical Signal Processing: Fundamentals. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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VanderLugt, Anthony. Optical signal processing. New York: Wiley, 1992.

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Karim, Mohammad A. Optical computing: An introduction. New York: Wiley, 1992.

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Casasent, David Paul. Optical metrology for industrialization of optical information processing. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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1944-, Lee John N., ed. Design issues in optical processing. Cambridge: Cambridge University Press, 1995.

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Mukhopadhyay, Sauransu. Optical computation and parallel processing. Calcutta: Classique Books, 2000.

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1936-, Caulfield H. J., and Gheen Gregory, eds. Selected papers on optical computing. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1989.

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Mikaėli͡an, A. L. Optical methods for information technologies. [New York, N.Y.]: Allerton Press, 1994.

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Book chapters on the topic "Optical data processing"

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Weik, Martin H. "optical data processing." In Computer Science and Communications Dictionary, 1162. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12961.

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Tuia, Devis. "Passive Optical Data Processing." In Remote Sensing Imagery, 155–80. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch6.

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Millán García-varela, Maria Sagrario, and Elisabet Pérez-Cabré. "Optical Data Encryption." In Optical and Digital Image Processing, 739–67. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch33.

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Edwards, Robert V. "Processing of Random Data." In Optical Diagnostics for Flow Processes, 69–81. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1271-8_5.

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Fitch, J. Patrick. "Optical Processing of SAR Data." In Synthetic Aperture Radar, 85–108. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3822-5_3.

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Curtis, Kevin, Lisa Dhar, and Pierre-Alexandre Blanche. "Holographic Data Storage Technology." In Optical and Digital Image Processing, 227–50. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch11.

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Burggraf, H., and D. Rathjen. "Beamforming on Linear Antennas with Optical Processors." In Underwater Acoustic Data Processing, 307–12. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_34.

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Blanche, Pierre-Alexandre. "Holographic Visualization of 3D Data." In Optical and Digital Image Processing, 201–26. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch10.

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Vâle, G., and M. Lubâne. "Active Media for Optical Data Processing." In Functional Materials, 9–13. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527607420.ch2.

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Huang, Yue-Kai, Paul Toliver, and Paul R. Prucnal. "Signal Processing Techniques for Data Confidentiality in OCDMA Access Networks." In Optical Networks, 261–80. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-92131-0_12.

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Conference papers on the topic "Optical data processing"

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Li, Yueh-Lin, Shang-Ling Lee, and Cheng-Yao Liao. "Image processing for Holography data storage." In Optical Data Storage. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/ods.2007.tue1.

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Lohmann, A. W. "Optical Data Processing And Optical Computers." In 1986 Int'l European Conf on Optics, Optical Systems, and Applications, edited by Stefano Sottini and Silvana Trigari. SPIE, 1987. http://dx.doi.org/10.1117/12.937089.

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Minemura, Hiroyuki, Yumiko Anzai, Soichiro Eto, Junko Ushiyama, and Toshimichi Shintani. "Novel Signal Processing Method for Super-Resolution Discs." In Optical Data Storage. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/ods.2007.tuc3.

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Nakajima, Takeshi, Harumitsu Miyashita, Naohiro Kimura, Hiromichi Ishibashi, and Takafumi Ishii. "Proposal of Signal Qualification Method for PRML Processing System." In Optical Data Storage. Washington, D.C.: OSA, 2003. http://dx.doi.org/10.1364/ods.2003.tub2.

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Brazas, John C., James McMullen, and Glenn E. Kohnke. "Error signal processing with a mode-index waveguide lens." In Optical Data Storage, edited by Donald B. Carlin and David B. Kay. SPIE, 1990. http://dx.doi.org/10.1117/12.22000.

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Caulfield, H. J., and Hua-Kuang Liu. "Optical Processing Of Optical Correlation Plane Data." In ECO4 (The Hague '91). SPIE, 1989. http://dx.doi.org/10.1117/12.951520.

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Morfitt, Ron A., Mike J. Choate, and Julia A. Barsi. "Landsat-8 data processing evolution." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2014. http://dx.doi.org/10.1117/12.2063767.

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Ostrovsky, Andrey S., Evgeny G. Balinsky, and Sergey V. Levy. "Magneto-optical data-processing systems." In Holography, Correlation Optics, and Recording Materials, edited by Oleg V. Angelsky. SPIE, 1993. http://dx.doi.org/10.1117/12.165360.

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Markhvida, Igor V., and Ludmila V. Chvyaleva. "Optical speckle myography: data processing." In International Symposium on Biomedical Optics Europe '94, edited by Hans J. Albrecht, Guy P. Delacretaz, Thomas H. Meier, Rudolf W. Steiner, Lars O. Svaasand, and Martin J. C. van Gemert. SPIE, 1995. http://dx.doi.org/10.1117/12.199213.

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Gordley, Larry L., Robert E. Thompson, and James M. Russell. "Haloe Data Processing Techniques." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.tud.5.

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The Halogen Occultation Experiment (HALOE) 1was launched aboard the UARS satellite in September of 1991 and has performed flawlessly since activated on October 11, 1991. HALOE uses both broadband radiometry and gas correlation radiometry techniques during occultation to obtain measurements for inferring temperature, pressure, and mixing ratios of O3, H2O, NO2, HF, HCl, CH4, and NO.
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Reports on the topic "Optical data processing"

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Casasent, David. Optical Data Processing. Fort Belvoir, VA: Defense Technical Information Center, October 1985. http://dx.doi.org/10.21236/ada174465.

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Rhodes, William T. Optical Digital Algebraic Processing for Multi-Sensor-Array Data. Fort Belvoir, VA: Defense Technical Information Center, February 1986. http://dx.doi.org/10.21236/ada167196.

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Owechko, Yuri, and Bernard Soffer. Real-Time Implementation of Nonlinear Optical Data Processing Functions. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada233521.

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Davis, Jeffrey A., Roger A. Lilly, Kevin D. Krenz, and Hua-Kuang Liu. Applicability of the Liquid Crystal Television for Optical Data Processing,. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada172762.

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Mossberg, Thomas W. Spatial-Spectral Holographic Approaches to the Storage, Processing, and Manipulation of Optical Data Streams. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada375764.

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Neeley, Aimee, Stace E. Beaulieu, Chris Proctor, Ivona Cetinić, Joe Futrelle, Inia Soto Ramos, Heidi M. Sosik, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, July 2021. http://dx.doi.org/10.1575/1912/27377.

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This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here includes the field names associatedMedia, scientificName/ scientificNameID for both automated and manual identification, biovolume, area_cross_section, length_representation and width_representation. Additional steps that instruct the user on how to format their data for a submission to the Ocean Biodiversity Information System (OBIS) are also included. Examples of documentation and data files are provided for the user to follow. The documentation requirements and data table format are approved by both NASA’s SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and the National Science Foundation’s Biological and Chemical Oceanography Data Management Office (BCO-DMO).
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Kong, Zhihao, and Na Lu. Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317724.

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In the fast-paced and time-sensitive fields of construction and concrete production, real-time monitoring of concrete strength is crucial. Traditional testing methods, such as hydraulic compression (ASTM C 39) and maturity methods (ASTM C 1074), are often laborious and challenging to implement on-site. Building on prior research (SPR 4210 and SPR 4513), we have advanced the electromechanical impedance (EMI) technique for in-situ concrete strength monitoring, crucial for determining safe traffic opening times. These projects have made significant strides in technology, including the development of an IoT-based hardware system for wireless data collection and a cloud-based platform for efficient data processing. A key innovation is the integration of machine learning tools, which not only enhance immediate strength predictions but also facilitate long-term projections vital for maintenance and asset management. To bring this technology to practical use, we collaborated with third-party manufacturers to set up a production line for the sensor and datalogger assembly. The system was extensively tested in various field scenarios, including pavements, patches, and bridge decks. Our refined signal processing algorithms, benchmarked against a mean absolute percentage error (MAPE) of 16%, which is comparable to the ASTM C39 interlaboratory variance of 14%, demonstrate reliable accuracy. Additionally, we have developed a comprehensive user manual to aid field engineers in deploying, connecting, and maintaining the sensing system, paving the way for broader implementation in real-world construction settings.
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Blundell, S. User guide : the DEM Breakline and Differencing Analysis Tool—gridded elevation model analysis with a convenient graphical user interface. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45040.

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Gridded elevation models of the earth’s surface derived from airborne lidar data or other sources can provide qualitative and quantitative information about the terrain and its surface features through analysis of the local spatial variation in elevation. The DEM Breakline and Differencing Analysis Tool was developed to extract and display micro-terrain features and vegetative cover based on the numerical modeling of elevation discontinuities or breaklines (breaks-in-slope), slope, terrain ruggedness, local surface optima, and the local elevation difference between first surface and bare earth input models. Using numerical algorithms developed in-house at the U.S. Army Engineer Research and Development Center, Geospatial Research Laboratory, various parameters are calculated for each cell in the model matrix in an initial processing phase. The results are combined and thresholded by the user in different ways for display and analysis. A graphical user interface provides control of input models, processing, and display as color-mapped overlays. Output displays can be saved as images, and the overlay data can be saved as raster layers for input into geographic information systems for further analysis.
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9

Gribok, Andrei V. Performance of Advanced Signal Processing and Pattern Recognition Algorithms Using Raw Data from Ultrasonic Guided Waves and Fiber Optics Transducers. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1495185.

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10

Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wavelength imaging sensor was constructed and tested using the selected technology. The sensor was tested and algorithms for multispectral image acquisition were developed. A high speed inspection system for fresh-market carrots was built and tested. It was shown that a combination of efficient parallel processing of a DSP and a PC based host CPU in conjunction with a hierarchical classification system, yielded an inspection system capable of handling 2 carrots per second with a classification accuracy of more than 90%. The adaptive sorting technique was extensively investigated and conclusively demonstrated to reduce misclassification rates in comparison to conventional non-adaptive sorting. The adaptive classifier algorithm was modeled and reduced to a series of modules that can be added to any existing produce sorting machine. A simulation of the entire process was created in Matlab using a graphical user interface technique to promote the accessibility of the difficult theoretical subjects. Typical Grade classifiers based on k-Nearest Neighbor techniques and linear discriminants were implemented. The sample histogram, estimating the cumulative distribution function (CDF), was chosen as a characterizing feature of prototype populations, whereby the Kolmogorov-Smirnov statistic was employed as a population classifier. Simulations were run on artificial data with two-dimensions, four populations and three classes. A quantitative analysis of the adaptive classifier's dependence on population separation, training set size, and stack length determined optimal values for the different parameters involved. The technique was also applied to a real produce sorting problem, e.g. an automatic machine for sorting dates by machine vision in an Israeli date packinghouse. Extensive simulations were run on actual sorting data of dates collected over a 4 month period. In all cases, the results showed a clear reduction in classification error by using the adaptive technique versus non-adaptive sorting.
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