Academic literature on the topic 'Fourier spectrum'

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Journal articles on the topic "Fourier spectrum"

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He, Wei, De Tian, and Wei Long Wang. "Effect of Wind Shear on Rotational Fourier Spectrum of Wind Turbine." Applied Mechanics and Materials 271-272 (December 2012): 872–76. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.872.

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In order to accurately obtain the influence of rotational effect on fluctuating component of turbulent wind acted on wind turbine, considering source spectrum and rotational sample points were changed since wind shear changed mean wind speed in the rotor plane along the vertical direction, rotational Fourier spectrum with wind shear was deduced. Based on the investigation on a 3MW three-bladed pitch regulated wind turbine, rotational Fourier spectrums with and without wind shear were compared, the effect of radius on rotational Fourier spectrum was analyzed, cross power spectral densities of r
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Foster, Grant. "The cleanest Fourier spectrum." Astronomical Journal 109 (April 1995): 1889. http://dx.doi.org/10.1086/117416.

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Andrecut, M. "Exact Fourier spectrum recovery." Physics Letters A 377, no. 1-2 (2012): 1–6. http://dx.doi.org/10.1016/j.physleta.2012.10.018.

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Tarasiuk, T. "Hybrid Wavelet-Fourier Spectrum Analysis." IEEE Transactions on Power Delivery 19, no. 3 (2004): 957–64. http://dx.doi.org/10.1109/tpwrd.2004.824398.

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Aref, Vahid, Son Thai Le, and Henning Buelow. "Modulation Over Nonlinear Fourier Spectrum: Continuous and Discrete Spectrum." Journal of Lightwave Technology 36, no. 6 (2018): 1289–95. http://dx.doi.org/10.1109/jlt.2018.2794475.

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Jia Fangxiu, 贾方秀, 丁振良 Ding Zhenliang, 袁峰 Yuan Feng, and 葛东升 Ge Dongsheng. "All-Phase Fourier Transfrorm Spectrum Analysis." Acta Optica Sinica 30, no. 10 (2010): 2928–34. http://dx.doi.org/10.3788/aos20103010.2928.

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Yang, Dekun, William A. Ainsworth, and Georg F. Meyer. "Resolution capability of reassigned Fourier spectrum." Journal of the Acoustical Society of America 105, no. 2 (1999): 1092. http://dx.doi.org/10.1121/1.425119.

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Shahhosseini, Saeid, and Bahman Rezaie. "Pattern Matching Using Partial Fourier Spectrum." IEEE Transactions on Circuits and Systems for Video Technology 26, no. 7 (2016): 1229–40. http://dx.doi.org/10.1109/tcsvt.2015.2437091.

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Myland, Jan C., Keith B. Oldham, and Guoyi Zhu. "Fourier spectrum of a voltammetric wave." Analytical Chemistry 60, no. 15 (1988): 1610–21. http://dx.doi.org/10.1021/ac00166a026.

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Amidror, Isaac. "Fourier spectrum of radially periodic images." Journal of the Optical Society of America A 14, no. 4 (1997): 816. http://dx.doi.org/10.1364/josaa.14.000816.

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Dissertations / Theses on the topic "Fourier spectrum"

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Whittle, Gruffudd Hannah Rebecca. "Relaxation spectrum recovery using Fourier transforms." Thesis, Aberystwyth University, 2012. http://hdl.handle.net/2160/f2b30f89-dc62-4038-83c9-1857eca8a2b5.

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In this thesis we consider the problem of recovering the relaxation spectrum from the storage and loss moduli. We invert an integral equation using Fourier transforms. Recovering the relaxation spectrum is an inverse, ill-posed problem and hence regularisation methods must be used to try and obtain the relaxation spectrum. We are particularily interested in establishing properties of the relaxation spectrum. We note from the literature that there are results of compact support for the relaxation spectrum; we review to what extent and in what sense, these results are valid. We consider the meth
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Tsakiroglou, Evangelia. "Wavelet-based parametric spectrum estimation." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342234.

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Tavakkolnia, Iman. "Advanced optical fibre communication via nonlinear Fourier transform." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/29606.

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Optical fibre communication using the Nonlinear Fourier transform (NFT) is one of the potential solutions to tackle the so-called capacity crunch problem in long-haul optical fibre networks. The NFT transforms the nonlinear propagation of temporal signal, governed by the nonlinear Schr ̈odinger equation (NLSE), into simple linear evolutions of continuous and discrete spectra in the so-called nonlinear spectral domain. These spectra and the corresponding nonlinear spectral domain, defined by the NFT, are the generalized counterparts of the linear spectrum and frequency domain defined by the ord
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Zhang, Xuhong Ph D. Massachusetts Institute of Technology. "Intelligible models for learning categorical data via generalized fourier spectrum." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121725.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 167-170).<br>Machine learning techniques have found ubiquitous applications in recent years and sophisticated models such as neural networks and ensemble methods have achieved impressive predictive performances. However, these models are hard to interpret and usually used as a blackbox. In applications where an explanation is required in addition to a prediction, linear models (e.g. Linear R
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Blackwell-Whitehead, Richard John. "High resolution fourier transform spectrometry of the spectrum of neural manganese." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408279.

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Stark, Anthony. "Phase Spectrum Based Speech Processing and Spectral Energy Estimation for Robust Speech Recognition." Thesis, Griffith University, 2011. http://hdl.handle.net/10072/366490.

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Speech is the dominant mode of communication between humans; simple to learn, easy to use and integral for modern life. Given the importance of speech, development of a human-machine speech interface has been greatly anticipated. This challenging task is encapsulated in the digital speech processing research field. In this dissertation, two specific areas of research are considered: 1) the use of short-time Fourier spectral phase in digital speech processing and 2) use of the minimum mean square error spectral energy estimator for environment-robust automatic speech recognition. In speech proc
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Zaks, Michael. "Fractal Fourier spectra in dynamical systems." Thesis, [S.l.] : [s.n.], 2001. http://pub.ub.uni-potsdam.de/2002/0019/zaks.ps.

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Hong, Quanhua Claire. "SAR processing direct spectrum formation and image reconstruction /." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0004/MQ42575.pdf.

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陳銚鴻 and Siu-hung Chan. "Spectrum analysis using time domain fourier filter outputs to improve FFT estimates." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31208502.

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Chan, Siu-hung. "Spectrum analysis using time domain fourier filter outputs to improve FFT estimates /." [Hong Kong : University of Hong Kong], 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12430882.

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Books on the topic "Fourier spectrum"

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Ruotoistenmäki, Tapio. Estimation of depth to potential field sources using the Fourier amplitude spectrum. Geologian tutkimuskeskus, 1987.

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Dewan, Edmond M. A review of maximum entropy spectral analysis and applications to Fourier spectroscopy. Optical Physics Division, Air Force Geophysics Laboratory, 1985.

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Witte, Robert A. Spectrum and network measurements. Prentice Hall, 1993.

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Marshall, Alan G. Fourier transforms in NMR, optical, and mass spectrometry: A user's handbook. Elsevier, 1990.

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J, Humecki Howard, ed. Practical guide to infrared microspectroscopy. M. Dekker, 1995.

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United States. National Aeronautics and Space Administration., ed. Search for molecular absorptions with the Fourier transform spectrometer NAG 2-495 (Stony Brook account 431-3072A): Final report. Division of Science, Penn State Erie, Behrend College, 1995.

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Zanyar, Movasaghi, and Rehman Shazza, eds. Vibrational spectroscopy for tissue analysis. CRC Press, 2013.

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1950-, Schäfer Klaus, and Deutsche Forschungsanstalt für Luft- und Raumfahrt., eds. Spectroscopic atmospheric monitoring techniques: 19-20 June 1997, Munich, FRG. SPIE, 1997.

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Boyd, J. P. Chebyshev & Fourier spectral methods. Springer-Verlag, 1989.

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Boyd, John Philip. Chebyshev & Fourier Spectral Methods. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83876-7.

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Book chapters on the topic "Fourier spectrum"

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Verster, Joris C., Thomas M. Tzschentke, Kieran O’Malley, et al. "Fourier Spectrum." In Encyclopedia of Psychopharmacology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_4265.

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Kido, Ken’iti. "Cross-Spectrum Method." In Digital Fourier Analysis: Advanced Techniques. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1127-1_3.

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Khare, Kedar. "The Angular Spectrum Method." In Fourier Optics and Computational Imaging. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118900352.ch10.

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Benedetto, John J. "Some Mathematical Methods for Spectrum Estimation." In Fourier Techniques and Applications. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2525-3_5.

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Rajasekar, Shanmuganathan. "Fourier Analysis and Power Spectrum." In Numerical Methods. CRC Press, 2024. http://dx.doi.org/10.1201/9781032649931-18.

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Benedetto, John J. "Fourier Uniqueness Criteria And Spectrum Estimation Theorems." In Fourier Techniques and Applications. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2525-3_8.

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McDonald, Joseph K., Charles R. Christensen, John A. Grisham, George A. Tanton, and A. J. Syllaios. "Magneto-Optical Rotation Spectrum of Semiconductors." In Progress in Fourier Transform Spectroscopy. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-6840-0_114.

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Fulop, Sean A. "The Fourier Power Spectrum and Spectrogram." In Signals and Communication Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17478-0_4.

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Garban, Christophe, Gábor Pete, and Oded Schramm*. "The Fourier spectrum of critical percolation." In Selected Works of Oded Schramm. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9675-6_14.

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Speed, T. P. "Some Practical and Statistical Aspects of Filtering and Spectrum Estimation." In Fourier Techniques and Applications. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2525-3_6.

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Conference papers on the topic "Fourier spectrum"

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Mathuria, Radhika, Srivatsan Rajgopal, and Dinesh Bharadia. "Fourier Meets Gardner: Robust Blind Waveform Characterization." In 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2024. http://dx.doi.org/10.1109/dyspan60163.2024.10632811.

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Brault, Janes W., and Mark C. Abrams. "DECOMP: A Fourier Transfom Spectra Decomposition Program." In High Resolution Fourier Transform Spectroscopy. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/hrfts.1989.pdp2.

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Current techniques for processing high resolution Fourier transform spectra revolve around interactive graphical display of the spectrum on a computer. The DECOMP spectrum decomposition program is designed explicitly for the reduction of Fourier transform spectra and focuses on reducing a spectrum into a list of line parameters. Basic methods of spectrum manipulation will be demonstrated and a IBM PC - compatible computer will be available for hands-on demonstrations of the process of spectrum analysis. Figures 1 and 2 illustrate the process of background subtraction: in Figure 1 a low resolut
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Clarmann, T. V. "Selection of Optimized Microwindows for Atmospheric Spectroscopy." In Fourier Transform Spectroscopy. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fts.1997.fmc.5.

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Fourier transform instruments, such as the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), provide spectra covering wide frequency ranges. In atmospheric spectroscopy the measured spectrum is usually not analyzed simultaneously as a whole, but microwindows which are dedicated to certain target species are used for the inversion process. An optimum microwindow contains prominent transitions of the target species, leading to high sensitivities of the measured spectral signal to the target parameters, while the signal of transitions of non-target species shall be low. In the ea
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McKellar, A. R. W., S. Dénommée, W. S. Neil, J. K. G. Watson, L. K. Chu, and Y. P. Lee. "Far infrared spectrum of propynal, CH2CHO." In Fourier Transform Spectroscopy. OSA, 2005. http://dx.doi.org/10.1364/fts.2005.ftud10.

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Toon, Geoffrey C. "The solar spectrum measured by FTS." In Fourier Transform Spectroscopy. OSA, 2013. http://dx.doi.org/10.1364/fts.2013.fth1c.3.

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Simon, A., and R. Rubinovitz. "Recent Developments in High Resolution Spectroscopy Using the IFS 120 HR." In High Resolution Fourier Transform Spectroscopy. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/hrfts.1989.ma1.

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In order to successfully produce high resolution spectra, a spectrometer must possess qualities such as precision optics, a high degree of optical stability, and sensitivity. Additionally, it is highly desirable that the instrument be versatile with respect to permitting a variety of samples to be scanned in the desired spectral regions. Otter practical considerations such as the time required to obtain the spectrum, and general ease of use should be considered in the spectrometer design. In order to meet such demanding criteria, it is clear that Fourier transform (FT) techniques would be appr
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Sansonetti, Craig J., and Gillian Nave. "Spectrum and Energy Levels of Cr II Based On FT Spectra from the VUV to mid-IR." In Fourier Transform Spectroscopy. OSA, 2011. http://dx.doi.org/10.1364/fts.2011.ftha4.

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Gutman, William M., William A. Peterson, and Dennis M. Garvey. "Spatial frequency shifts in Fourier transform spectra." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.ftt2.

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High resolution atmospheric transmission spectra collected with a Fourier transform instrument sometimes exhibit small systematic shifts in the apparent positions of spectral features. Although small, these shifts result in line shape distortions such as "S-curving" when, in the data reduction, one spectrum must be divided by another. The origin of the shifting is in small residual angular deviations between the laser reference and measurement beams and the mechanical axis of the spectrometer. Thermal distortion of the instrument resulting from temperature gradients that change from spectrum t
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Davis, Sumner P., Rolf Engleman, and Mark C. Abrams. "Fourier Transform Spectroscopy of OH and OD in the Infrared." In High Resolution Fourier Transform Spectroscopy. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/hrfts.1989.wa2.

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We are making a thorough study of the Meinel bands of OH and OD radicals in the spectral region 1900 to 9000 cm−1. Three sources have been used, the ozone-hydrogen flame, the oxygen-acetylene flame, and the inductively coupled plasma (ICP). Differences in the spectra are immediately apparent, as shown in Figure 1. The ozone-hydrogen flame operates at low pressure, the lines are sharp, and the excitation is non-thermal. The oxygen-acetylene flame operates at atmospheric pressure and produces thermal excitation and broad lines. The ICP spectrum is similar to the oxygen-acetylene flame but with l
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Esplin, Mark P., and Michael Hoke. "Hot Bands of Carbon Dioxide in the 15 Micron Region." In High Resolution Fourier Transform Spectroscopy. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/hrfts.1989.mb5.

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The Air Force Geophysics Laboratory (AFGL) high resolution Michelson interferometer has been used to make measurement of the spectrum of CO2 in the 15 µm region. The infrared spectrum of a linear molecule like CO2 is composed of vibrational bands made up of many nearly equally spaced rotation lines. At high temperatures there is a great deal of overlapping of these bands. This overlapping causes the line density in the experimental spectrum to be very high. Since the band systems are spread over hundreds of wavenumbers, a Michelson interferometer with its capability of high resolution over wid
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Reports on the topic "Fourier spectrum"

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McCallen, R. Power spectrum calculations using the fast Fourier transform. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/188886.

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Yang, Xi. Chromaticity measurement via the Fourier spectrum of transverse oscillations. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/15017166.

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Xi Yang. Chromaticity measurement via the fourier spectrum of transverse oscillations. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/827924.

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Dalke, Roger. Radio Spectrum Estimates Using Windowed Data and the Discrete Fourier Transform. Institute for Telecommunication Sciences, 2010. https://doi.org/10.70220/pnm67tj6.

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Lehman, S. K. Improving line detector by wedge filtering in the Fourier power spectrum domain. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6407881.

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Bayless, Jeff, and Norman Abrahamson. An Empirical Model for Fourier Amplitude Spectra using the NGA-West2 Database. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2018. http://dx.doi.org/10.55461/cfhs8430.

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An empirical ground-motion model (GMM) for shallow crustal earthquakes in California and Nevada based on the NGA-West2 database [Ancheta et al. 2014] is presented. Rather than the traditional response spectrum GMM, this model is developed for the smoothed effective amplitude spectrum (EAS) as defined by PEER [Goulet et al. 2018]. The EAS is the orientation- independent horizontal component Fourier amplitude spectrum (FAS) of ground acceleration. The model is developed using a database dominated by California earthquakes, but takes advantage of crustal earthquake data worldwide to constrain the
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Kottke, Albert, Norman Abrahamson, David Boore, et al. Selection of Random Vibration Procedures for the NGA-East Project. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2018. http://dx.doi.org/10.55461/ltmu9309.

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Pseudo-spectral acceleration (PSA) is the most commonly used intensity measure in earthquake engineering as it serves as a simple approximate predictor of structural response for many types of systems. Therefore, most ground-motion models (GMMs, aka GMPEs) provide median and standard deviation PSA using a suite of input parameters characterizing the source, path, and site effects. Unfortunately, PSA is a complex metric: the PSA for a single oscillator frequency depends on the Fourier amplitudes across a range of frequencies. The Fourier amplitude spectrum (FAS) is an appealing alternative beca
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Corriveau, Elizabeth, Travis Thornell, Mine Ucak-Astarlioglu, et al. Characterization of pigmented microbial isolates for use in material applications. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46633.

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Organisms (i.e., plants and microorganisms) contain pigments that allow them to adapt and thrive under stressful conditions, such as elevated ultraviolet radiation. The pigments elicit characteristic spectral responses when measured by active and passive sensors. This research study focused on characterizing the spectral response of three organisms and how they compared to background spectral signatures of a complex environment. Specifically, spectra were collected from a fungus, a plant, and two pigmented bacteria, one of which is an extremophile bacterium. The samples were measured using Fou
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Friesen, W. I., and K. H. Michaelian. Fourier deconvolution of photoacoustic FTIR spectra. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304887.

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Gerstl, S., B. Cooke, A. Jacobson, S. Love, and A. Zardecki. Feasibility of microwave interferometry and fourier-transform spectrometry for high-spectral-resolution sensing. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/395589.

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