Relevant bibliographies by topics / Signal processing – Digital technique

Academic literature on the topic 'Signal processing – Digital technique'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Signal processing – Digital technique"

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Okamoto, Akihiro, and Akio Miyazaki. "A digital watermark technique using morphological signal processing." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 86, no. 6 (February 4, 2003): 67–75. http://dx.doi.org/10.1002/ecjc.10007.

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Uchino, Masaharu, and Ken Mochizuki. "Frequency stability measuring technique using digital signal processing." Electronics and Communications in Japan (Part I: Communications) 87, no. 1 (September 9, 2003): 21–33. http://dx.doi.org/10.1002/ecja.10097.

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Yan, Zheng Guo, and Juan Su. "Through-Casing Resistivity Logging Signal Acquisition and Processing Techniques." Advanced Materials Research 403-408 (November 2011): 2659–62. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2659.

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Weak signal detection is the key technique in developing through-casing resistivity logging tool. In this paper, ultra-low-noise preamplifier, oversampling method, sampling integration and sampling average method, digital phase-sensitive detection technique are applied in detecting logging signals and 30nV is achieved. The indoor calibration test and field experiment of through-casing resistivity logging model machine with those weak signal detection techniques were carried out. The result showed that the measurement range of formation resistivity is 0~200 Ω.m.
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Sabatini, A. M. "A digital-signal-processing technique for ultrasonic signal modeling and classification." IEEE Transactions on Instrumentation and Measurement 50, no. 1 (2001): 15–21. http://dx.doi.org/10.1109/19.903873.

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Liu, Chanzi, Qingchun Chen, Hongbin Liang, and Hengchao Li. "Digital Watermarking Processing Technique Based on Overcomplete Dictionary." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 10 (November 23, 2016): 1658002. http://dx.doi.org/10.1142/s0218001416580027.

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A novel sparse domain-based information hiding framework is proposed in this paper to attach the watermarking signal to the most significant sparse components of the host signal over the pre-defined overcomplete dictionary. The adaptive sparse domain can be utilized to embed watermarking logo with better security and robustness. This can be realized owing to the fact that, not only the sparse domain can be customized from the given samples, but also the sparse transform coefficients of the original watermarking signal can be embedded, which provides inherent privacy. This paper provides two kinds of methods that embed watermark directly and embed the sparse representation coefficients of watermarking logo, and analyzes the condition of uniqueness of the sparse solution. Experimental results demonstrate the superiority of the proposed sparse domain digital watermarking technique over the traditional frequency domain or spatial domain schemes.
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Li, De Xin. "Random Sampling Approaches for Implementation of FPGA in Signal Processing." Applied Mechanics and Materials 670-671 (October 2014): 1184–87. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1184.

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Nowadays, digital front-end devices are widely used in large number of fields such as electronic appliances. Signals must be presented in an appropriate format, for example, the original analog signals must be converted into digital formats that can be recognized and used by digital equipment. In this paper, the random sampling technique is implemented by original design of a Pseudorandom Signal Sampler circuit for controlling ADC to relax constraints of receiver circuits supporting multiband signal processing. This new idea of using non-uniform sampling technique for multiband signals sampling allows the main advantage of suppressing spectral aliases at integer multiples of sampling frequency produced by conventional uniform sampling technique. This approach could reduce the constraints on the anti-aliasing filter, relax the automatic gain control dynamic range, and decrease the ADC dynamic power consumption. Experiments show that this approach achieve good performance and it could be implemented in FPGA in signal processing successfully.
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Benton, David M. "Photonic Processing for Wideband Cancellation and Spectral Discrimination of RF Signals." Advances in Optical Technologies 2013 (December 5, 2013): 1–8. http://dx.doi.org/10.1155/2013/738427.

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Photonic signal processing is used to implement common mode signal cancellation across a very wide bandwidth utilising phase modulation of radio frequency (RF) signals onto a narrow linewidth laser carrier. RF spectra were observed using narrow-band, tunable optical filtering using a scanning Fabry Perot etalon. Thus functions conventionally performed using digital signal processing techniques in the electronic domain have been replaced by analog techniques in the photonic domain. This technique was able to observe simultaneous cancellation of signals across a bandwidth of 1400 MHz, limited only by the free spectral range of the etalon.
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Sabatini, A. M. "A digital signal-processing technique for compensating ultrasonic sensors." IEEE Transactions on Instrumentation and Measurement 44, no. 4 (1995): 869–74. http://dx.doi.org/10.1109/19.392873.

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Martinez, O., M. Parrilla, M. A. G. Izquierdo, and L. G. Ullate. "Application of digital signal processing techniques to synthetic aperture focusing technique images." Sensors and Actuators A: Physical 76, no. 1-3 (August 1999): 448–56. http://dx.doi.org/10.1016/s0924-4247(99)00028-x.

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Jorge, P. A. S., L. A. Ferreira, and J. L. Santos. "Digital signal processing technique for white light based sensing systems." Review of Scientific Instruments 69, no. 7 (July 1998): 2595–602. http://dx.doi.org/10.1063/1.1148986.

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Dissertations / Theses on the topic "Signal processing – Digital technique"

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Kwan, Ching Chung. "Digital signal processing techniques for on-board processing satellites." Thesis, University of Surrey, 1990. http://epubs.surrey.ac.uk/754893/.

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In on-board processing satellite systems in which FDMA/SCPC access schemes are employed. transmultiplexers are required for the frequency demultiplexing of the SCPC signals. Digital techniques for the implementation of the transmultiplexer for such application were examined in this project. The signal processing in the transmultiplexer operations involved many parameters which could be optimized in order to reduce the hardware complexity whilst satisfying the level of performance required of the system. An approach for the assessment of the relationship between the various parameters and the system performance was devised. which allowed hardware requirement of practical system specifications to be estimated. For systems involving signals of different bandwidths a more flexible implementation of the trans multiplexer is required and two computationally efficient methods. the DFT convolution and analysis/synthesis filter bank. were investigated. These methods gave greater flexibility to the input frequency plan of the transmultiplexer. at the expense of increased computational requirements. Filters were then designed to exploit specific properties of the flexible transmultiplexer methods. resulting in considerable improvement in their efficiencies. Hardware implementation of the flexible transmultiplexer was considered and an efficient multi-processor architecture in combination with parallel processing software algorithms for the signal processing operations were designed. Finally. an experimental model of the payload for a land-mobile satellite system proposal. T -SAT. was constructed using general-purpose digital signal processors and the merits of the on-board processing architecture was demonstrated.
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Papaspiridis, Alexandros. "Digital signal processing techniques for gene prediction." Thesis, Imperial College London, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590037.

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The purpose of this research is to apply existing Digital Signal Processing techniques to DNA sequences, with the objective of developing improved methods for gene prediction. Sections of DNA sequences are analyzed in the frequency domain and frequency components that distinguish intron regions are identified (21t/lOA). Novel detectors are created using digital filters and auto correlation, capable of identifying the location of intron regions in a sequence. The resulting signal from these detectors is used as a dynamic threshold in existing gene detectors, resulting in an improved accuracy of 12% and 25% respectively. Finally, DNA sequences are analyzed in terms of their amino acid composition, and new gene prediction algorithms are introduced.
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Chan, Tsang Hung. "Digital signal processing in optical fibre digital speckle pattern interferometry." HKBU Institutional Repository, 1996. http://repository.hkbu.edu.hk/etd_ra/269.

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Okullo-Oballa, Thomas Samuel. "Systolic realization of multirate digital filters." Thesis, [Hong Kong] : University of Hong Kong, 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12433998.

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Buckley, Richard James. "A digital signal processing-based predistortion technique for reduction of intermodulation distortion /." Online version of print, 1993. http://hdl.handle.net/1850/11455.

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Musoke, David. "Digital image processing with the Motorola 56001 digital signal processor." Scholarly Commons, 1992. https://scholarlycommons.pacific.edu/uop_etds/2236.

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This report describes the design and testing of the Image56 system, an IBM-AT based system which consists of an analog video board and a digital board. The former contains all analog and video support circuitry to perform real-time image processing functions. The latter is responsible for performing non real-time, complex image processing tasks using a Motorola DSP56001 digital signal processor. It is supported by eight image data buffers and 512K words of DSP memory (see Appendix A for schematic diagram).
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Orcutt, Edward Kerry 1964. "Correlation filters for time domain signal processing." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277215.

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This study proposes employing new filters in various configurations for use in digital communication systems. We believe that significant improvements in such performance areas as transmission rate and synchronization may be achieved by incorporating these filters into digital communications receivers. Recently reported in the literature, these filters may offer advantages over the matched filter which allow enhancements in data rates, ISI tolerance, and synchronization. To make full use of the benefits of these filters, we introduce the concept of parallel signal transmission over a single channel. We also examine the effects of signal set selection and noise on performance.
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Hamlett, Neil A. "Comparison of multiresolution techniques for digital signal processing." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from the National Technical Information Service, 1993. http://edocs.nps.edu/npspubs/scholarly/theses/1993/Mar/93Mar_Hamlett.pdf.

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Scraggs, David Peter Thomas. "Digital signal processing techniques for semiconductor Compton cameras." Thesis, University of Liverpool, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491364.

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The work presented in this thesis has focused on the development of a low dose Compton camera for nuclear medicine. A Compton camera composed of two high-purity planar germanium orthogonal-strip detectors has been constructed. Fast digital data acquisition has been utilised for the application of pulse shape analysis techniques. A simple back projection imaging code has been developed and validated with a Geant4 radiation transport simulation of the Compton camera configuration. L A 137CS isotropic source and a 22Na anisotropic source have been experimentally reconstructed. Parametric pulse shape analysis was applied to both data sets and has been shown to increase the detector spatial resolution from a raw granularity of 5x5x20mm to a spatial resolution that can be represented by a Gaussian distribution with a standard deviation of 1.5mm < u < 2mm in all dimensions; this result was in-part derived from Geant4 simulations. Qualitatively poor images have been shown to result - based wholly on simulation - from Gaussian spatial-resolution distributions that have a standard deviation of greater than 4mm. A partial experimental basis-data-set has been developed and proved capable of providing 1.9mm FWHM average spatial resolution through the depth axis of a single detector crystal. A novel technique to identify gamma ray scattering within single detector c1osed-face-pixels - hitherto unrecognised - has also been introduced in this thesis. This technique, henceforth known as Digital Compton Suppression (DieS), is based on spectral analysis and has demonstrated the ability of identifying events in which the Compton scattering and photoelectric absorption sites are separated by 13mm in the direction ofthe electric field. Supplied by The British Library - 'The world's knowledge'
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Al-Mbaideen, Amneh Ahmed. "Digital signal processing techniques fpr NIR spectroscopy analysis." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538095.

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Books on the topic "Signal processing – Digital technique"

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Limited, INMOS, ed. Digital signal processing. New York: Prentice Hall, 1989.

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Digital signal processing. New York: J. Wiley, 2000.

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1943-, Mullis Clifford T., ed. Digital signal processing. Reading, Mass: Addison-Wesley, 1987.

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Digital signal processing. Englewood Cliffs, N.J: Prentice Hall, 1993.

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Maeda, Wataru. Digital signal processing. Englewood Cliffs, N.J: Prentice Hall, 1993.

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Digital signal processing. Singapore: Delmar, 2000.

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A, Vallavaraj, and Gnanapriya C, eds. Digital signal processing. New Delhi: Tata McGraw-Hill Pub., 2000.

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G, Manolakis Dimitris, ed. Digital signal processing. 4th ed. Upper Saddle River, N.J: Pearson Prentice Hall, 2007.

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Rangarao, Kaluri. Digital Signal Processing. New York: John Wiley & Sons, Ltd., 2006.

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Kunt, M. Digital signal processing. Norwood, MA: Artech House, 1986.

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Book chapters on the topic "Signal processing – Digital technique"

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Bucy, R. S. "Burg Technique." In Signal Processing and Digital Filtering, 47–54. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4613-8392-5_5.

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Simmer, K. Uwe, Joerg Bitzer, and Claude Marro. "Post-Filtering Techniques." In Digital Signal Processing, 39–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04619-7_3.

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Jackson, Leland B. "FIR Filter Design Techniques." In Digital Filters and Signal Processing, 289–321. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2458-5_9.

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Jackson, Leland B. "FIR Filter Design Techniques." In Digital Filters and Signal Processing, 223–48. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-3262-0_9.

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Smolka, Bogdan. "Efficient Technique of Impulsive Noise Detection and Replacement in Color Digital Images." In Sensor Networks and Signal Processing, 171–85. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4917-5_14.

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Ennser, Karin, Slavisa Aleksic, Franco Curti, D. M. Forin, Michael Galili, M. Karasek, L. K. Oxenløwe, et al. "Optical Signal Processing Techniques for Signal Regeneration and Digital Logic." In Towards Digital Optical Networks, 49–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01524-3_4.

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García-Mateo, C., and D. Docampo-Amoedo. "Modeling Techniques for Speech Coding: A Selected Survey." In Digital Signal Processing in Telecommunications, 1–43. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1019-4_1.

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Manjunath, A. E., M. V. Vijay Kumar, and K. S. Swarnalatha. "Digital Filter Technique Used in Signal Processing for Analysing of ECG Signal." In Emerging Research in Computing, Information, Communication and Applications, 371–78. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6001-5_29.

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Rawat, Karun, Patrick Roblin, and Shiban Kishen Koul. "Digital Techniques for Broadband and Linearized Transmitters." In Analog Circuits and Signal Processing, 301–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38866-9_5.

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Wölfel, Matthias. "From Signals to Speech Features by Digital Signal Processing." In Techniques for Noise Robustness in Automatic Speech Recognition, 159–92. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118392683.ch7.

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Conference papers on the topic "Signal processing – Digital technique"

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Svoboda, Marcus, Liliana Matiu-Iovan, Flaviu Mihai Frigura-Iliasa, and Petru Andea. "B-spline interpolation technique for digital signal processing." In 2015 International Conference on Information and Digital Technologies (IDT). IEEE, 2015. http://dx.doi.org/10.1109/dt.2015.7222998.

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Duan, Fajie, Yuyang Sun, and Shenghua Ye. "Digital processing technique for quasi-white light interference signal." In Photonics Asia 2002, edited by Yun-Jiang Rao, Julian D. C. Jones, Hiroshi Naruse, and Robert I. Chen. SPIE, 2002. http://dx.doi.org/10.1117/12.481966.

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Elcherif and Mashali. "A new distributed arithmetic technique for digital signal processing." In IEEE International Conference on Systems Engineering. IEEE, 1989. http://dx.doi.org/10.1109/icsyse.1989.48700.

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Naumenko, V. V., V. F. Solodovnik, A. V. Totsky, and A. A. Zelensky. "Bispectral-based signal processing technique for digital communication system." In 2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW). IEEE, 2016. http://dx.doi.org/10.1109/msmw.2016.7538161.

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Lagodzinski, Przemyslaw, and Bogdan Smolka. "Fast Digital Image Colorization Technique." In 2007 IEEE International Symposium on Signal Processing and Information Technology. IEEE, 2007. http://dx.doi.org/10.1109/isspit.2007.4458137.

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Zhu, Yuan-Jiang, Jin-Feng Wang, and Heng Chai. "Research on DF Technique for UAV Signal." In ICDSP 2020: 2020 4th International Conference on Digital Signal Processing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3408127.3408132.

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Kyprianou, Ross, Peter Schachte, and Bill Moran. "Dauphin: A Signal Processing Language - Statistical Signal Processing Made Easy." In 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2015. http://dx.doi.org/10.1109/dicta.2015.7371250.

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Yu, Chih-Jen, and Chien Chou. "Linear polarization modulation heterodyne ellipsometer using digital signal processing technique." In SPIE OPTO, edited by Michel J. F. Digonnet, Shibin Jiang, John W. Glesener, and J. Christopher Dries. SPIE, 2011. http://dx.doi.org/10.1117/12.875103.

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Hassan, Hasliza Abu, Azlee Zabidi, and Ahmad Ihsan Mohd Yassin. "Analog to Digital Meter Reader Converter Using Signal Processing Technique." In 2021 IEEE Symposium on Computers & Informatics (ISCI). IEEE, 2021. http://dx.doi.org/10.1109/isci51925.2021.9633440.

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Raghavendra, B. S., and D. Narayana Dutt. "Multiscale fractal dimension technique for characterization and analysis of biomedical signals." In 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE). IEEE, 2011. http://dx.doi.org/10.1109/dsp-spe.2011.5739242.

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Reports on the topic "Signal processing – Digital technique"

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Beasley, Joseph N. Digital Signal Processing Techniques for Positioning of Off-Axis Solar Concentrators. Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada410937.

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Thomas, J. B., and K. Steiglitz. Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/ada203744.

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Roberts, Richard A. VLSI Implementations for Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada189612.

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Chung, Y., L. Emery, and J. Kirchman. Digital signal processing for beam position feedback. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/90669.

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Biglieri, Ezio, and Michele Elia. Applications of Signal Processing in Digital Communications. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada190420.

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Elia, Michele. Applications of Signal Processing in Digital Communications. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada190422.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada277617.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada286483.

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Willson, Alan N., and Jr. VLSI for High-Speed Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada250365.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada256654.

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