Relevant bibliographies by topics / Frequency domain

Academic literature on the topic 'Frequency domain'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Frequency domain"

1

McKelvey, T. "Frequency Domain Identification." IFAC Proceedings Volumes 33, no. 15 (June 2000): 7–18. http://dx.doi.org/10.1016/s1474-6670(17)39719-7.

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Zhang, Xiaohui, Enqing Chen, and Xiaomin Mu. "Single-Carrier Frequency-Domain Equalization Based on Frequency-Domain Oversampling." IEEE Communications Letters 16, no. 1 (January 2012): 24–26. http://dx.doi.org/10.1109/lcomm.2011.111611.110726.

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OKAZAKI, A., K. MOTOYOSHI, M. HIGASHINAKA, T. NAGAYASU, H. KUBO, and A. SHIBUYA. "Frequency-Domain Equalization Incorporated with Frequency-Domain Redundancy for OFDM Systems." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 10 (October 1, 2006): 2549–57. http://dx.doi.org/10.1093/ietfec/e89-a.10.2549.

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Bahmani-Oskooee, Mohsen, Tsangyao Chang, and Omid Ranjbar. "Asymmetric causality using frequency domain and time-frequency domain (wavelet) approaches." Economic Modelling 56 (August 2016): 66–78. http://dx.doi.org/10.1016/j.econmod.2016.03.002.

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Stanković, Ljubiša, Jonatan Lerga, Danilo Mandic, Miloš Brajović, Cédric Richard, and Miloš Daković. "From Time–Frequency to Vertex–Frequency and Back." Mathematics 9, no. 12 (June 17, 2021): 1407. http://dx.doi.org/10.3390/math9121407.

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The paper presents an analysis and overview of vertex–frequency analysis, an emerging area in graph signal processing. A strong formal link of this area to classical time–frequency analysis is provided. Vertex–frequency localization-based approaches to analyzing signals on the graph emerged as a response to challenges of analysis of big data on irregular domains. Graph signals are either localized in the vertex domain before the spectral analysis is performed or are localized in the spectral domain prior to the inverse graph Fourier transform is applied. The latter approach is the spectral form of the vertex–frequency analysis, and it will be considered in this paper since the spectral domain for signal localization is well ordered and thus simpler for application to the graph signals. The localized graph Fourier transform is defined based on its counterpart, the short-time Fourier transform, in classical signal analysis. We consider various spectral window forms based on which these transforms can tackle the localized signal behavior. Conditions for the signal reconstruction, known as the overlap-and-add (OLA) and weighted overlap-and-add (WOLA) methods, are also considered. Since the graphs can be very large, the realizations of vertex–frequency representations using polynomial form localization have a particular significance. These forms use only very localized vertex domains, and do not require either the graph Fourier transform or the inverse graph Fourier transform, are computationally efficient. These kinds of implementations are then applied to classical time–frequency analysis since their simplicity can be very attractive for the implementation in the case of large time-domain signals. Spectral varying forms of the localization functions are presented as well. These spectral varying forms are related to the wavelet transform. For completeness, the inversion and signal reconstruction are discussed as well. The presented theory is illustrated and demonstrated on numerical examples.
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Dong, Jun, Zhong-gui Lu, Zhi-hong Sun, Zhi-tao Peng, Yan-wen Xia, Jing-qin Su, Feng Jing, Hao-yu Yuan, Hua Liu, and Jun Tang. "Transforming characteristic of phase-shift from frequency-domain to time-domain in frequency-domain holography." Optics & Laser Technology 44, no. 3 (April 2012): 594–99. http://dx.doi.org/10.1016/j.optlastec.2011.08.027.

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Liu, Guang Yao, Long Li, Jia Qi Han, Hai Xia Liu, Xiao He Gao, Yan Shi, and Tie Jun Cui. "Frequency-Domain and Spatial-Domain Reconfigurable Metasurface." ACS Applied Materials & Interfaces 12, no. 20 (April 27, 2020): 23554–64. http://dx.doi.org/10.1021/acsami.0c02467.

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Ferrari, C., G. Salvetti, E. Tognoni, and E. Tombari. "Time-domain and frequency-domain differential calorimetry." Journal of Thermal Analysis 47, no. 1 (July 1996): 75–85. http://dx.doi.org/10.1007/bf01982687.

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Chaber, S., H. Helbig, and MA Gamulescu. "Time-domain-OCT versus Frequency-domain-OCT." Der Ophthalmologe 107, no. 1 (June 6, 2009): 36–40. http://dx.doi.org/10.1007/s00347-009-1941-1.

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Koh, Soo N., and Costas Xydeas. "Frequency domain speech coding." Journal of the Acoustical Society of America 93, no. 1 (January 1993): 592–93. http://dx.doi.org/10.1121/1.405579.

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Dissertations / Theses on the topic "Frequency domain"

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Johnson, Richard. "Frequency domain structural identification." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA312408.

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Chen, Shuming. "Filtering in the frequency domain." Thesis, University of Sheffield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434612.

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Ye, Lei. "Adaptive frequency-domain access techniques." Thesis, University of York, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479512.

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Dickerson, Jeffrey Crawford. "Frequency domain secondary pulse estimation." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36983.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
Includes bibliographical references (leaves 44-45).
by Jeffrey Crawford Dickerson.
M.Eng.
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Wang, Yong. "Frequency domain coupled circuit-electromagnetic simulation /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6071.

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Kalyoncu, Ozden. "Noise Reduction In Time-frequency Domain." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608768/index.pdf.

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In this thesis work, time-frequency filtering of nonstationary signals in noise using Wigner-Ville Distribution is investigated. Continuous-time, discrete-time and discrete Wigner Ville Distribution definitions, their relations, and properties are given. Time-Frequency Peak Filtering Method is presented. The effects of different parameters on the performance of the method are investigated, and the results are presented. Time-Varying Wiener Filter is presented. Using simulations it is shown that the performance of the filter is good at SNR levels down to -5 dB. It is proposed and shown that the performance of the filter improves by using Support Vector Machines. The presented time-frequency filtering techniques are applied on test signals and on a real world signal. The results obtained by the two methods and also by classical zero-phase low-pass filtering are compared. It is observed that for low sampling rates Time-Varying Wiener Filter, and for high sampling rates Time-Frequency Peak Filter performs better.
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Anyaegbu, Esther Olulu. "Frequency Domain Processing of GNSS Signals." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486155.

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Mousavi, Amir Mehdi. "Frequency-domain equivalents for passive networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0017/NQ45692.pdf.

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Afran, Md Shah. "Frequency Domain Equalizer for Aeronautical Telemetry." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596444.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV
This paper presents a frequency domain equalization (FDE) technique for aeronautical telemetry channels. The FDE has significantly lower computational complexity compared to its time-domain counterpart, however both are found to exhibit almost identical performance. A cyclic prefix is generally needed to implement the FDE. In this paper, we exploit the repetition of iNET preamble and ASM bits in place of cyclic prefix.
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Zhong, Shiyin. "Electricity Load Modeling in Frequency Domain." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/75109.

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In today's highly competitive and deregulated electricity market, companies in the generation, transmission and distribution sectors can all benefit from collecting, analyzing and deep-understanding their customers' load profiles. This strategic information is vital in load forecasting, demand-side management planning and long-term resource and capital planning. With the proliferation of Advanced Metering Infrastructure (AMI) in recent years, the amount of load profile data collected by utilities has grown exponentially. Such high-resolution datasets are difficult to model and analyze due to the large size, diverse usage patterns, and the embedded noisy or erroneous data points. In order to overcome these challenges and to make the load data useful in system analysis, this dissertation introduces a frequency domain load profile modeling framework. This framework can be used a complementary technology alongside of the conventional time domain load profile modeling techniques. There are three main components in this framework: 1) the frequency domain load profile descriptor, which is a compact, modular and extendable representation of the original load profile. A methodology was introduced to demonstrate the construction of the frequency domain load profile descriptor. 2) The load profile Characteristic Attributes in the Frequency Domain (CAFD). Which is developed for load profile characterization and classification. 3) The frequency domain load profile statistics and forecasting models. Two different models were introduced in this dissertation: the first one is the wavelet load forecast model and the other one is a stochastic model that incorporates local weather condition and frequency domain load profile statistics to perform medium term load profile forecast. 7 different utilities load profile data were used in this research to demonstrate the viability of modeling load in the frequency domain. The data comes from various customer classes and geographical regions. The results have shown that the proposed framework is capable to model the load efficiently and accurately.
Ph. D.
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Books on the topic "Frequency domain"

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Eccles, William J. Pragmatic Circuits: Frequency Domain. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-79749-1.

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Paknys, Robert. Applied Frequency-Domain Electromagnetics. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119127444.

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Richard, Johnson. Frequency domain structural identification. Monterey, Calif: Naval Postgraduate School, 1996.

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L, Walls F., and National Institute of Standards and Technology (U.S.), eds. Time domain frequency stability calculated from the frequency domain description: Use of the SIGNET software package to calculate time domain frequency stability from the frequency domain. Boulder, Colo: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1990.

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Gokten, Mesut, Atef Elsherbeni, and Ercument Arvas. Multiresolution Frequency Domain Technique for Electromagnetics. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-01714-8.

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Pulkki, Ville, Symeon Delikaris-Manias, and Archontis Politis, eds. Parametric Time-Frequency Domain Spatial Audio. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119252634.

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Altshuller, Dmitry. Frequency Domain Criteria for Absolute Stability. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4234-8.

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Jer-Nan, Juang, Lee Gordon, and Langley Research Center, eds. Frequency domain state-space system identification. [Hampton, Va.]: National Aeronautics and Space Administration, 1992.

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Jer-Nan, Juang, Lee Gordon, and Langley Research Center, eds. Frequency domain state-space system identification. [Hampton, Va.]: National Aeronautics and Space Administration, 1992.

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(Johan), Schoukens J., ed. System identification: A frequency domain approach. 2nd ed. Hoboken, N.J: John Wiley & Sons Inc., 2012.

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Book chapters on the topic "Frequency domain"

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Nilsson, Anders, and Bilong Liu. "Frequency Domain." In Vibro-Acoustics, Volume 1, 31–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47807-3_2.

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Chan, Felix, and Marco Reale. "Frequency Domain." In Macroeconomic Forecasting in the Era of Big Data, 655–87. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31150-6_20.

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Weik, Martin H. "frequency domain." In Computer Science and Communications Dictionary, 647. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7634.

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Keller, Reto B. "Time-Domain and Frequency-Domain." In Design for Electromagnetic Compatibility--In a Nutshell, 41–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14186-7_5.

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AbstractThis chapter introduces the transformation from time-domain to frequency-domain and vice versa. Electrical signals—periodic or nonperiodic—can be measured in the time-domain (e.g., with an oscilloscope) or in the frequency-domain (e.g., with a spectrum analyzer). This means that an electrical signal can be described either in the time- or frequency-domain. The time-domain representation helps you to determine the signal integrity (ringing, reflection). In contrast, the frequency-domain representation helps you to determine at which frequencies a signal potentially leads to radiated emissions.As an EMC design engineer and troubleshooter, it is crucial to understand the dependencies and relationship between the time-domain and the frequency-domain.
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Sangwine, Stephen J., and Amy L. Thornton. "Frequency domain methods." In The Colour Image Processing Handbook, 228–41. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5779-1_12.

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Houghton, A. D. "Frequency domain coding." In The Engineer’s Error Coding Handbook, 77–103. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-0447-0_8.

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Chakravorti, Sivaji, Debangshu Dey, and Biswendu Chatterjee. "Frequency Domain Spectroscopy." In Power Systems, 193–225. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5550-8_6.

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Möhl, Dieter. "Frequency-Domain Picture." In Stochastic Cooling of Particle Beams, 47–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34979-9_4.

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Kankare, Jouko, and Iko Hyppänen. "Frequency-Domain Measurements." In Lanthanide Luminescence, 279–312. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/4243_2010_7.

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Davies, Matthew A., and Tony L. Schmitz. "Frequency Domain Analysis." In System Dynamics for Mechanical Engineers, 347–80. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9293-1_11.

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Conference papers on the topic "Frequency domain"

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Arva, Mihai Catalin. "Frequency domain analysis." In 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2016. http://dx.doi.org/10.1109/ecai.2016.7861127.

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Okazaki, Akihiro, Katsuyuki Motoyoshi, Masatsugu Higashinaka, Takayuki Nagayasu, Hiroshi Kubo, and Akihiro Shibuya. "Frequency-Domain Equalization Incorporated with Frequency-Domain Redundancy for OFDM Systems." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.254430.

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Sharp, Aaron, Qilin Qi, Yaoqing Yang, Dongming Peng, and Hamid Sharif. "Frequency domain discrete spring transform: A novel frequency domain steganographic attack." In 2014 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP). IEEE, 2014. http://dx.doi.org/10.1109/csndsp.2014.6923970.

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Sharifzadeh, Mostafa, Ali K. Z. Tehrani, Habib Benali, and Hassan Rivaz. "Ultrasound Domain Adaptation Using Frequency Domain Analysis." In 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 2021. http://dx.doi.org/10.1109/ius52206.2021.9593856.

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Gratton, E. "Techniques C: frequency domain." In Medical Optical Tomography: Functional Imaging and Monitoring, edited by Gerhard J. Mueller. SPIE, 1993. http://dx.doi.org/10.1117/12.2283773.

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Liu, Liangchen, Xi Yang, Nannan Wang, and Xinbo Gao. "Viewing from Frequency Domain." In MM '21: ACM Multimedia Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3474085.3475566.

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Totsuka, Takashi, and Marc Levoy. "Frequency domain volume rendering." In the 20th annual conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/166117.166152.

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Schmidt, Bruno E., Vincent Gruson, Philippe Lassonde, Guilmot Ernotte, Adrien Leblanc, Matteo Clerici, Roberto Morandotti, et al. "Frequency domain Nonlinear Optics." In Nonlinear Optics. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/nlo.2017.nth1a.4.

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Joshi, Chaitali, Alessandro Farsi, and Alexander Gaeta. "Frequency-Domain Boson Sampling." In CLEO: QELS_Fundamental Science. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/cleo_qels.2017.ftu1f.1.

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Gratton, Enrico. "Digital Frequency-Domain FLIM." In Frontiers in Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/fio.2008.fwp1.

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Reports on the topic "Frequency domain"

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Walls, F. L., John Gary, Abbie O'Gallagher, Roland Sweet, and Linda Sweet. Time domain frequency stability calculated from the frequency domain description :. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-3916.

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Walls, F. L., John Gary, Abbie O'Gallagher, Roland Sweet, and Linda Sweet. Time domain frequency stability calculated from the frequency domain description :. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.89-3916r1991.

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Fantini, Sergio. Frequency-Domain Optical Mammograph. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada392528.

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Bruno, Oscar P. High-Performance Computational Electromagnetics in Frequency-Domain and Time-Domain. Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada622789.

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Helton, J. W. Frequency Domain Design of Robust Controllers. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada200746.

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DiCecio, Riccardo, and Michael T. Owyang. Identifying Technology Shocks in the Frequency Domain. Federal Reserve Bank of St. Louis, 2010. http://dx.doi.org/10.20955/wp.2010.025.

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Dennis, John A., Tim A. Patterson, and Ilya Schiller. Frequency Domain Signal Processing for Acoustic Sensors. Fort Belvoir, VA: Defense Technical Information Center, February 2000. http://dx.doi.org/10.21236/ada375309.

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Haney, R. E., A. Neugroschel, K. Misiakos, and F. A. Lindholm. Frequency-domain transient analysis of silicon solar cells. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/6346849.

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Nelson, H. H., D. A. Steinhurst, B. Barrow, T. Bell, N. Khadar, B. SanFilipo, and I. J. Won. Enhanced UXO Discrimination Using Frequency-Domain Electromagnetic Induction. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada469893.

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Dew-Becker, Ian, and Stefano Giglio. Asset Pricing in the Frequency Domain: Theory and Empirics. Cambridge, MA: National Bureau of Economic Research, September 2013. http://dx.doi.org/10.3386/w19416.

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