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Relevant bibliographies by topics / Spectral order

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Academic literature on the topic 'Spectral order'

Author: Grafiati

Published: 24 April 2022

Last updated: 30 July 2025

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Journal articles on the topic "Spectral order"

1

Okatev, R., P. Frick, and D. Sokoloff. "Spectral Properties of Low-order Dynamo Systems." Nelineinaya Dinamika 18, no. 2 (2022): 289–96. http://dx.doi.org/10.20537/nd220209.

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The solar 11-year activity cycle is a famous manifestation of magnetic activity of celestial bodies. The physical nature of the solar cycle is believed to be large-scale magnetic field excitation in the form of a wave of a quasi-stationary magnetic field propagating from middle solar latitudes to the solar equator. The power spectrum of solar magnetic activity recorded in sunspot data and underlying solar dynamo action contains quite a stable oscillation known as the 11-year cycle as well as the continuous component and some additional weak peaks. We consider a low-order model for the solar dy

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Došlý, Ondřej, and Roman Hilscher. "Spectral properties of fourth order differential operators." Mathematica Bohemica 122, no. 2 (1997): 153–68. http://dx.doi.org/10.21136/mb.1997.125911.

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Schouhamer Immink, Kees A., and Kui Cai. "Estimated Spectra of Higher Order Spectral Null Codes." IEEE Communications Letters 23, no. 1 (2019): 20–23. http://dx.doi.org/10.1109/lcomm.2018.2877324.

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4

Yu, Tian-You, Yadong Wang, Alan Shapiro, Mark B. Yeary, Dusan S. Zrnić, and Richard J. Doviak. "Characterization of Tornado Spectral Signatures Using Higher-Order Spectra." Journal of Atmospheric and Oceanic Technology 24, no. 12 (2007): 1997–2013. http://dx.doi.org/10.1175/2007jtecha934.1.

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Abstract Distinct tornado spectral signatures (TSSs), which are similar to white noise spectra or have bimodal features, have been observed in both simulations and real data from Doppler radars. The shape of the tornado spectrum depends on several parameters such as the range of the tornado, wind field within the storm, and the reflectivity structure. In this work, one of the higher-order spectra (HOS), termed bispectrum, is implemented to characterize TSS, in which the Doppler spectrum is considered a 1D pattern. Bispectrum has been successfully applied to pattern recognition in other fields

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Zhuang, Jie, and Quan Wang. "Hyperspectral Indices Developed from Fractional-Order Derivative Spectra Improved Estimation of Leaf Chlorophyll Fluorescence Parameters." Plants 13, no. 14 (2024): 1923. http://dx.doi.org/10.3390/plants13141923.

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Chlorophyll fluorescence (ChlF) parameters offer valuable insights into quantifying energy transfer and allocation at the photosystem level. However, tracking their variation based on reflectance spectral information remains challenging for large-scale remote sensing applications and ecological modeling. Spectral preprocessing methods, such as fractional-order derivatives (FODs), have been demonstrated to have advantages in highlighting spectral features. In this study, we developed and assessed the ability of novel spectral indices derived from FOD spectra and other spectral transformations t

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Dykema, Ken, and Anna Skripka. "Higher order spectral shift." Journal of Functional Analysis 257, no. 4 (2009): 1092–132. http://dx.doi.org/10.1016/j.jfa.2009.02.019.

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Cui, Hongwei, Haolei Zhang, Hao Ma, and Jiangtao Ji. "Research on SPAD Estimation Model for Spring Wheat Booting Stage Based on Hyperspectral Analysis." Sensors 24, no. 5 (2024): 1693. http://dx.doi.org/10.3390/s24051693.

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With the rapid progression of agricultural informatization technology, the methodologies of crop monitoring based on spectral technology are constantly upgraded. In order to carry out the efficient, precise and nondestructive detection of relative chlorophyll (SPAD) during the booting stage, we acquired hyperspectral reflectance data about spring wheat vertical distribution and adopted the fractional-order differential to transform the raw spectral data. After that, based on correlation analysis, fractional differential spectra and fractional differential spectral indices with strong correlati

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Sawut, Mamat, Xin Hu, Asiya Manlike, Ainiwan Aimaier, Jintao Cui, and Jiaxi Liang. "Enhancing Leaf Area Index Estimation in Southern Xinjiang Fruit Trees: A Competitive Adaptive Reweighted Sampling-Successive Projections Algorithm and Three-Band Index Approach with Fractional-Order Differentiation." Forests 15, no. 12 (2024): 2126. https://doi.org/10.3390/f15122126.

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The Leaf Area Index (LAI) is a key indicator for assessing fruit tree growth and productivity, and accurate estimation using hyperspectral technology is essential for monitoring plant health. This study aimed to improve LAI estimation accuracy in apricot, jujube, and walnut trees in Xinjiang, China. Canopy hyperspectral data were processed using fractional-order differentiation (FOD) from 0 to 2.0 orders to extract spectral features. Three feature selection methods—Competitive Adaptive Reweighted Sampling (CARS), Successive Projections Algorithm (SPA), and their combination (CARS-SPA)—were app

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Fu, Chengbiao, Heigang Xiong, and Anhong Tian. "Fractional Modeling for Quantitative Inversion of Soil-Available Phosphorus Content." Mathematics 6, no. 12 (2018): 330. http://dx.doi.org/10.3390/math6120330.

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The study of field spectra based on fractional-order differentials has rarely been reported, and traditional integer-order differentials only perform the derivative calculation for 1st-order or 2nd-order spectrum signals, ignoring the spectral transformation details between 0th-order to 1st-order and 1st-order to 2nd-order, resulting in the problem of low-prediction accuracy. In this paper, a spectral quantitative analysis model of soil-available phosphorus content based on a fractional-order differential is proposed. Firstly, a fractional-order differential was used to perform a derivative ca

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10

Augustyniak, Aleksander, Mariusz Zdanowicz, and Tomasz Osuch. "Self-Similarity Properties of Complex Quasi-Periodic Fibonacci and Cantor Photonic Crystals." Photonics 8, no. 12 (2021): 558. http://dx.doi.org/10.3390/photonics8120558.

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In this paper, the influence of structural modifications on basic quasi-periodic (QP) photonic crystals (PhC’s) on self-similarity feature in their spectral responses is examined. Investigated crystals are chosen based on a present knowledge on the QP crystals, and are classified according to their structure. One of the QP crystals considered for the calculations is a concatenation, Fibonacci structure. It characterizes with a self-similar spectra for its different orders, which means, that the spectral shape repeats itself and can be partially identical for a different orders of the Fibonacci

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Dissertations / Theses on the topic "Spectral order"

1

Kannan, Ravishekar. "High order spectral volume and spectral difference methods on unstructured grids." [Ames, Iowa : Iowa State University], 2008.

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2

Lenz, Daniel. "Aspects of aperiodic order: spectral theory via dynamical systems." Doctoral thesis, [S.l.] : [s.n.], 2005. http://archiv.tu-chemnitz.de/pub/2005/0079.

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Binci, Massimiliano Kalidindi Surya. "A novel spectral framework for second-order homogenization theories /." Philadelphia, Pa. : Drexel University, 2008. http://hdl.handle.net/1860/2662.

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Mason, Colin Stuart. "Boundary perturbations and ultracontractivity of singular second order elliptic operators." Thesis, King's College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395943.

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5

Rossi, Lorenzo. "Functional renormalization group: higher order flows and pseudo-spectral methods." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18120/.

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Diamo una rapida introduzione alle idee su cui si basa il Gruppo di Rinormalizzazione Funzionale e deriviamo l’equazione di flsso esatta per l’azione effettiva media nella formulazione proposta da Wetterich e Morris. Lavorando in tale contesto, discutiamo i più comuni troncamenti LPA e LPA’ e li applichiamo a una teoria con un campo scalare reale in D dimensioni. Discutiamo la struttura dei puntifissi della teoria in dimensioni arbitrarie tramite un metodo numerico di shooting e concentrandoci sul caso D = 3, che corrisponde alla classe di universalità del modello di Ising, studiamo le soluzio

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Strauss, Michael. "Spectral pollution and higher order projection methods for operator pencils." Thesis, King's College London (University of London), 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497989.

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Junior, Carlos Breviglieri. "High-order unstructured spectral finite volume method for aerodynamic applications." Instituto Tecnológico de Aeronáutica, 2010. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1133.

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An implicit finite volume algorithm is developed for higher-order unstructured computation of inviscid compressible flows. The Spectral Finite Volume method is used to achieve high-order spatial discretization of the domain, coupled with a matrix-free LU-SGS algorithm to solve the linear systems arising from implicit time marching of the governing equations, avoiding the explicit storage of the flux Jacobian matrices. A new limiter formulation for the high-order terms of the reconstruction polynomial is introduced. The issue of mesh refinement in accuracy measurements for unstructured meshes i

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Vanharen, Julien. "High-order numerical methods for unsteady flows around complex geometries." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/17967/1/vanharen.pdf.

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This work deals with high-order numerical methods for unsteady flows around complex geometries. In order to cope with the low-order industrial Finite Volume Method, the proposed technique consists in computing on structured and unstructured zones with their associated schemes: this is called a hybrid approach. Structured and unstructured meshes are then coupled by a nonconforming grid interface. The latter is analyzed in details with special focus on unsteady flows. It is shown that a dedicated treatment at the interface avoids the reflection of spurious waves. Moreover, this hybrid approach i

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Baker, Steven Jeffrey. "Spectral properties of displacement models." Birmingham, Ala. : University of Alabama at Birmingham, 2007. https://www.mhsl.uab.edu/dt/2007p/baker.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2007.<br>Additional advisors: Richard Brown, Ioulia Karpechina, Ryoichi Kawai, Boris Kunin. Description based on contents viewed Feb. 5, 2008; title from title screen. Includes bibliographical references (p. 73-75).

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Qin, Lihai. "Development of Reduced-Order Models for Lift and Drag on Oscillating Cylinders with Higher-Order Spectral Moments." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/29542.

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An optimal solution of vortex-induced vibrations of structures would be a time-domain numerical simulation that simultaneously solves the fluid flow and structural response. Yet, the requirements in terms of computing power remains a major obstacle for implementing such a simulation. On the other hand, lower- or reduced-order models provide an alternative for determining structural response to forcing by fluid flow. The objective of this thesis is to provide a consistent approach for the development of reduced-order models for the lift and drag on oscillating cylinders and the identification o

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Books on the topic "Spectral order"

1

G, Macaraeg Michelle, and Langley Research Center, eds. Preconditioning for first-order spectral discretizations. National Aeronautics and Space Administration, Langley Research Center, 1986.

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2

Jameson, Leland. A wavelet-optimized, very high order adaptive grid and order numerical method. Langley Research Center, 1996.

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3

Lawrence, Marple S., IEEE Educational Activities Board, and IEEE Signal Processing Society, eds. High-resolution and higher-order spectral analysis. IEEE, 1990.

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4

Hesthaven, Jan S. High-order/spectral methods on unstructured grids. ICASE, National Aeronautics and Space Administration, Langley Research Center, 2001.

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5

Hesthaven, J. S. High-order/spectral methods on unstructured grids. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2001.

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6

I, Warburton, and Institute for Computer Applications in Science and Engineering., eds. High-order/spectral methods on unstructured grids. ICASE, National Aeronautics and Space Administration, Langley Research Center, 2001.

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I, Warburton, and Institute for Computer Applications in Science and Engineering., eds. High-order/spectral methods on unstructured grids. ICASE, National Aeronautics and Space Administration, Langley Research Center, 2001.

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8

Hesthaven, Jan S., and Einar M. Rønquist, eds. Spectral and High Order Methods for Partial Differential Equations. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15337-2.

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9

Bernardi, Christine. Some spectral approximations of one-dimensional fourth-order problems. National Aeronautics and Space Administration, Langley Research Center, 1989.

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10

Nikias, Chrysostomos L. Higher-order spectral analysis: A nonlinear signal processing framework. Prentice Hall, 1993.

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Book chapters on the topic "Spectral order"

1

Weik, Martin H. "spectral order." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17881.

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2

Weik, Martin H. "grating spectral order." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8048.

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3

Shen, Jie, Tao Tang, and Li-Lian Wang. "Higher-Order Differential Equations." In Spectral Methods. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-71041-7_6.

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Weik, Martin H. "diffraction grating spectral order." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4991.

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Shen, Jie, Tao Tang, and Li-Lian Wang. "Spectral Methods for Second-Order Two-Point Boundary Value Problems." In Spectral Methods. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-71041-7_4.

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6

Goldbring, Isaac. "Spectral gap and definability." In Beyond First Order Model Theory, Volume II. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9780429263637-3.

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7

Pokorný, Jiří, and Tsu-Ming Wu. "Spectral Transformation of Energy." In Biophysical Aspects of Coherence and Biological Order. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03547-4_7.

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8

Doelman, A., and J. Grasman. "Low Order Spectral Models in Hydrodynamics." In Trends in Applications of Mathematics to Mechanics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73933-0_9.

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9

Lenz, Daniel, and Peter Stollmann. "Aperiodic Order and Quasicrystals: Spectral Properties." In International Conference on Theoretical Physics. Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-7907-1_73.

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10

Egorov, Yuri, and Vladimir Kondratiev. "Differential Operators of Any Order." In On Spectral Theory of Elliptic Operators. Birkhäuser Basel, 1996. http://dx.doi.org/10.1007/978-3-0348-9029-8_6.

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Conference papers on the topic "Spectral order"

1

Wang, Yuyang, Songli Wang, Swarnava Sanyal, et al. "Order-Preserving Channel Calibration of Kerr Comb–Driven Microresonator-Based DWDM Link." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.w1e.1.

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We experimentally validate a robust channel calibration algorithm for Kerr comb–driven microresonator-based DWDM links, which preserves the post-tuning resonator spectral order in the presence of resonance aliases within a comb spectrum spanning multiple resonator FSRs.

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2

Zhang, Xi, Ning Liu, and Qiang Fu. "Control method for drive motor of antenna servo system based on second-order speed prediction." In Conference on Spectral Technology and Applications (CSTA 2024), edited by Zhe Wang and Hongbin Ding. SPIE, 2024. https://doi.org/10.1117/12.3036977.

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"Workshop on Higher-order Spectral Analysis." In Workshop on Higher-Order Spectral Analysis. IEEE, 1989. http://dx.doi.org/10.1109/hosa.1989.735258.

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"Author index." In Workshop on Higher-Order Spectral Analysis. IEEE, 1989. http://dx.doi.org/10.1109/hosa.1989.735259.

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Alexiou, S. "Ion dynamics via an all-order theory in the plasma-emitter interaction." In Spectral line shapes. AIP, 1990. http://dx.doi.org/10.1063/1.39913.

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Kouzov, A. P. "On the form of rotational relaxation matrix in the infinite-order sudden approximation corrected for energy and frequency." In SPECTRAL LINE SHAPES. ASCE, 1999. http://dx.doi.org/10.1063/1.58338.

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7

Ifantis, A., V. Tsagaris, V. Anastassopoulos, and G. Tselentis. "Third-order Spectral Analysis of Geolectrical Signals." In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1630282.

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Ochs, P., and T. Brox. "Higher order motion models and spectral clustering." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247728.

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Gardner, W. A. "Spectral characterization of n-th order cyclostationarity." In Fifth ASSP Workshop on Spectrum Estimation and Modeling. IEEE, 1990. http://dx.doi.org/10.1109/spect.1990.205585.

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Varricchio, Sergio Luis, Francisco Damasceno Freitas, and Nelson Martins. "Spectral energy indices for model order reduction." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672415.

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Reports on the topic "Spectral order"

1

Wilson, Gary R., and Keith R. Hardwicke. Nonstationary Higher Order Spectral Analysis. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada246580.

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Fox, Douglas J. Higher Order Spectral Investigations of Nonlinear Transverse Vibrations of Circular Rings. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada305421.

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Marras, S., J. F. Kelly, F. X. Giraldo, and M. Vazquez. Variational Multiscale Stabilization of High-Order Spectral Elements for the Convection-Diffusion Equation. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada590018.

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Dohrmann, Clark. Spectral Equivalence Properties of Higher-Order Tensor Product Finite Elements and Applications to Preconditioning. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1761047.

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Nikias, C. L., and Jerry M. Mendel. Workshop on Higher-Order Spectral Analysis Held at Vail, Colorado on 28- 30 June 1989. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada215849.

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Nuttall, Albert H. Second-Order Statistics of Spectral and Correlation Estimates Obtained by Means of Weighted Overlapped FFT Processing. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439705.

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Wang, Z. J. Final Report - High-Order Spectral Volume Method for the Navier-Stokes Equations On Unstructured Tetrahedral Grids. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1056665.

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Yue, Dick K. Assimilation of Three-Dimensional Phase-Resolved Wave-Field Data Using an Efficient High-Order Spectral Method. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada626896.

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Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580664.bard.

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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential nonpoint source pollution of ground and surface waters. This has resulted in increased interest in site specific fertilizer management. One way to solve pollution problems would be to determine crop nutrient needs in real time, using remote detection, and regulating fertilizer dispensed by an applicator. By detecting actual plant needs, only the additional nitrogen necessary to optimize production would be supplied. This research aimed to develop techniques for real tim

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Mamedov, Khanlar R. On a Basic Problem for a Second Order Differential Equation With a Discontinuous Coefficient and a Spectral Parameter in the Boundary Conditions. GIQ, 2012. http://dx.doi.org/10.7546/giq-7-2006-218-225.

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