Academic literature on the topic 'Spectra decomposition'

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Journal articles on the topic "Spectra decomposition"

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Coops, Nicholas, Stephen Dury, Marie-Louise Smith, Mary Martin, and Scott Ollinger. "Comparison of green leaf eucalypt spectra using spectral decomposition." Australian Journal of Botany 50, no. 5 (2002): 567. http://dx.doi.org/10.1071/bt01082.

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Vegetation function and dynamics are key parameters in terrestrial carbon-cycle models. The strong linkages between biochemical constituents in foliage with photosynthetic capacity and ecosystem productivity makes the development of methods to characterise patterns of foliage biochemistry a potentially powerful approach for estimating leaf function and carbon fluxes at a variety of scales. Eucalypt foliage spectra were obtained over a range of species and locations in southern New South Wales, covering a significant productivity and climatic gradient. We applied a spectral decomposition techni
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Ferreira, Marcia M. C., Mary Lou Brandes, Inês M. C. Ferreira, et al. "Chemometric Study of the Fluorescence of Dental Calculus by Trilinear Decomposition." Applied Spectroscopy 49, no. 9 (1995): 1317–25. http://dx.doi.org/10.1366/0003702953965173.

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Chemometric techniques have been applied to the unresolved second-order porphyrinic emission-excitation fluorescent spectra of several animal dental calculus deposits dissolved in HCl. A singular value decomposition (SVD) procedure was used for preliminary indication of the number of fluorescent species present in the samples. The trilinear decomposition (TLD) method was applied to resolve component spectra, resulting in three porphyrinic spectral profiles for both canines and felines.
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Falkowski, Bogdan J., and Sudha Kannurao. "Identification of Disjoint Bi-decompositions in Boolean Functions through Walsh Spectrum." VLSI Design 14, no. 3 (2002): 307–13. http://dx.doi.org/10.1080/10655140290011104.

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A new algorithm for the identification of disjoint bi-decomposition in Boolean functions from its Walsh spectrum is proposed. The type of bi-decomposition and its existence is derived from the knowledge of a subset of Walsh spectrum for a Boolean function. All three types of bi-decomposition are considered including OR, AND and EXOR type. A filtering procedure that uses just few Walsh spectral coefficients (SC) is applied to quickly eliminate the functions that are not bi-decomposable and hence the algorithm is very efficient. The type of bi-decomposition and affirmation/negation of variables
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Поздняков, А. О. "Кинетика изменений спектров термодеструкции композита полибутилметакрилат-фуллерен C-=SUB=-60-=/SUB=- при ультрафиолетовом облучении". Письма в журнал технической физики 45, № 10 (2019): 49. http://dx.doi.org/10.21883/pjtf.2019.10.47758.17606.

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By using thermal decomposition mass-spectra the kinetics of ultraviolet induced transformation of polybutylmethacrylate has been described. The enhancement of decomposition at low temperatures occurs after low irradiation doses. Further growth of irradiation dose results in the decrease of the total amount of the monomer formed upon thermal decomposition. In the case of the polybutylmethacrylate-fullerene C60 composite the changes of the spectra are observed in the same range of irradiation doses, however, the spectral shapes and intensities exhibit different response to irradiation compared t
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Kowalski, N., D. A. Depireux, and S. A. Shamma. "Analysis of dynamic spectra in ferret primary auditory cortex. II. Prediction of unit responses to arbitrary dynamic spectra." Journal of Neurophysiology 76, no. 5 (1996): 3524–34. http://dx.doi.org/10.1152/jn.1996.76.5.3524.

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1. Responses of single units and multiunit clusters were recorded in the ferret primary auditory cortex (AI) with the use of broadband complex dynamic spectra. Previous work has demonstrated that simpler spectra consisting of single moving ripples (i.e., sinusoidally modulated spectral profiles that travel at a constant velocity along the logarithmic frequency axis) could be used effectively to characterize the response fields and transfer functions of AI cells. 2. A complex dynamic spectral profile can be thought of as being the sum of moving ripple spectra. Such a decomposition can be comput
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Dzyubenko, M. I., D. F. Kulishenko, A. A. Priyomko, and S. N. Kolpakov. "DECOMPOSITION OF LASER-INDUCED EMISSION SPECTRA." Telecommunications and Radio Engineering 70, no. 20 (2011): 1883–90. http://dx.doi.org/10.1615/telecomradeng.v70.i20.80.

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Possokhov, Yu M., V. I. Butakova, and V. K. Popov. "Decomposition of IR spectra of coal." Coke and Chemistry 58, no. 2 (2015): 49–57. http://dx.doi.org/10.3103/s1068364x15020052.

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Kruseman, A. C., H. Schut, Masanori Fujinami, and A. van Veen. "Decomposition of Doppler Broadened Annihilation Spectra." Materials Science Forum 255-257 (September 1997): 793–95. http://dx.doi.org/10.4028/www.scientific.net/msf.255-257.793.

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Vershinin, V. V. "ON THE DECOMPOSITION OF CERTAIN SPECTRA." Mathematics of the USSR-Sbornik 60, no. 2 (1988): 283–90. http://dx.doi.org/10.1070/sm1988v060n02abeh003168.

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Shinkarenko, V. K., E. V. Shinkarenko, and V. P. Shcherbatskii. "Decomposition of spectra into voigt-contours." Journal of Applied Spectroscopy 62, no. 1 (1995): 46–48. http://dx.doi.org/10.1007/bf02606563.

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Dissertations / Theses on the topic "Spectra decomposition"

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Partl, Michal. "Total fluorenscence spectra of resorufin and anthracene : applications of singular-value decomposition in total luminescence spectroscopy /." Zürich, 1994. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10785.

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Schipporeit, Sebastian [Verfasser], and Dieter [Akademischer Betreuer] Mergel. "Decomposition, quantitative and qualitative evaluation of TiO2 thin film Raman spectra / Sebastian Schipporeit ; Betreuer: Dieter Mergel." Duisburg, 2021. http://d-nb.info/1233199889/34.

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Snirer, Eva. "Hyperspectral remote sensing of individual gravesites - exploring the effects of cadaver decomposition on vegetation and soil spectra." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121458.

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The detection of clandestine graves is an emerging tool in hyperspectral remote sensing. Though previous studies have demonstrated that it is possible to use hyperspectral remote sensing techniques in detection of mass graves, there is a lack of studies demonstrating the feasibility to utilize this same technology for the detection of individual burial sites. This thesis summarizes the first year of a multi-year study to ascertain the detectable changes to vegetation and soil spectra caused by the chemicals released from a single decomposing body. Eighteen pig (Sus scrofa) carcasses were burie
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Blanchette, Jonathan. "Short-time Multichannel Noise Power Spectral Density Estimators for Acoustic Signals." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30964.

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The estimation of power spectral densities is a critical step in many speech enhancement algorithms. The demand for multi-channel speech enhancement systems is high with applications in teleconferencing, cellular phones, and hearing aids. The first objective of the thesis is to develop a general multi-channel framework to solve for the diffuse noise power spectral densities whenever the spatial correlation or coherence matrix is pre-estimated and the number of speakers is less than the number of microphones. The second objective is to develop closed-form analytical solutions. The performance o
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Clowes, Steven Kenneth. "Experimental studies of surface-adsorbate interactions and surface magnetism." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323531.

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Muto, S., K. Tatsumi, K. Ikeda, and S. Orimo. "Dehydriding process of alpha-AlH3 observed by transmission electron microscopy and electron energy-loss spectroscopy." American Institite of Physics, 2009. http://hdl.handle.net/2237/12636.

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De, Sanctis Silvia [Verfasser], and Hans Robert [Akademischer Betreuer] Kalbitzer. "Application of Singular Spectrum Analysis (SSA), Independent Component Analysis (ICA) and Empirical Mode Decomposition (EMD) for automated solvent suppression and automated baseline and phase correction from multi-dimensional NMR spectra / Silvia De Sanctis. Betreuer: Hans Robert Kalbitzer." Regensburg : Universitätsbibliothek Regensburg, 2011. http://d-nb.info/1030178941/34.

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Mortada, Hassan. "Separation of parameterized and delayed sources : application to spectroscopic and multispectral data." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAD051/document.

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Ce travail est motivé par la spectroscopie de photoélectrons et l'étude de la cinématique des galaxies où les données correspondent respectivement à une séquence temporelle de spectres et à une image multispectrale. L'objectif est d'estimer les caractéristiques (amplitude, position spectrale et paramètre de forme) des raies présentes dans les spectres, ainsi que leur évolution au sein des données. Dans les applications considérées, cette évolution est lente puisque deux spectres voisins sont souvent très similaires : c'est une connaissance a priori qui sera prise en compte dans les méthodes dé
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Bi, Qiao. "Generalized spectral decomposition of chaotic maps." Doctoral thesis, Universite Libre de Bruxelles, 1996. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212396.

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Assis, Ribas Bosco Francisco de. "Generalized spectral decomposition of probabilistic dynamical systems." Doctoral thesis, Universite Libre de Bruxelles, 1996. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212397.

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Books on the topic "Spectra decomposition"

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Laberge, Gaëtan Joseph Henri. Density decomposition and energy level fluctuations in the two body random ensemble: An application to nuclear spectra. s.n.], 1989.

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1932-, Wang Shengwang, ed. New approaches in spectral decomposition. American Mathematical Society, 1992.

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1955-, Putinar Mihai, ed. Spectral decompositions and analytic sheaves. Clarendon Press, 1996.

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Quarteroni, Alfio. Domain decomposition preconditioners for the spectral collection method. ICASE, 1988.

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Kopriva, David A. Spectral solution of the viscous blunt body problem. II: Multidomain approximation. Langley Research Center, 1994.

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Moeglin, Colette. Spectral decomposition and Eisenstein series: Une paraphrasede l'écriture. Cambridge University Press, 1995.

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Quarteroni, Alfio. Domain decomposition preconditioners for the spectral collocation method. National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1988.

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Bachry, Andrzej. Power quality studies in distribution systems involving spectral decomposition. Otto-von-Guericke-Universität Magdeburg, 2004.

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Moeglin, Colette. Spectral decomposition and Eisenstein series: Une paraphrase de l'écriture. Cambridge University Press, 1995.

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Booß-Bavnbek, Bernhelm, Gerd Grubb, and Krzysztof P. Wojciechowski, eds. Spectral Geometry of Manifolds with Boundary and Decomposition of Manifolds. American Mathematical Society, 2005. http://dx.doi.org/10.1090/conm/366.

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Book chapters on the topic "Spectra decomposition"

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Lazarev, A. "Spaces of Multiplicative Maps between Highly Structured Ring Spectra." In Categorical Decomposition Techniques in Algebraic Topology. Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-7863-0_14.

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Heinlein, Alexander, Axel Klawonn, and Martin J. Kühn. "Local Spectra of Adaptive Domain Decomposition Methods." In Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56750-7_18.

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Djordjevic, Cirila, Nikola Vuletic, Myunghi Lee Renslo, Bruce C. Puryear, and Ramin Alimard. "Peroxo heteroligand vanadates(V): Synthesis, spectra-structure relationships, and stability toward decomposition." In Vanadium Compounds: Biochemical and Therapeutic Applications. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4613-1251-2_3.

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Behrens, Richard. "Thermal Decomposition of HMX and RDX: Decomposition Processes and Mechanisms Based on STMBMS and TOF of Velocity-Spectra Measurements." In Chemistry and Physics of Energetic Materials. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2035-4_15.

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Hassani, Sadri. "Spectral Decomposition." In Mathematical Physics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01195-0_6.

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Bergeron, Nicolas. "Spectral Decomposition." In Universitext. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27666-3_3.

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Hassani, Sadri. "Spectral Decomposition." In Mathematical Physics. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-87429-1_5.

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Olszewski, Serge, Violetta Demchenko, Eva Zaets, et al. "Streaming Algorithm to the Decomposition of a Polyatomic Molecules Mass Spectra on the Polychlorinated Biphenyls Molecule Example." In Lecture Notes in Computational Intelligence and Decision Making. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82014-5_3.

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Eremenko, S. A., O. N. Kalugin, and D. A. Nerukh. "Decomposition of Vibrational Spectra of Liquids with Overlapping Bands of Complex Shape: Uniqueness of Solution and Method of Fitting." In Spectroscopy of Biological Molecules: Modern Trends. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5622-6_262.

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Lange, Ridgley, and Sheng Wang Wang. "Chapter I: Foundations." In New Approaches in Spectral Decomposition. American Mathematical Society, 1992. http://dx.doi.org/10.1090/conm/128/01.

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Conference papers on the topic "Spectra decomposition"

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Komada, Paweł, Volodymyr I. Litvinenko, and Serge V. Olszewski. "Preprocessing optical spectra superposition for further decomposition." In 18th Conference on Optical Fibers and Their Applications, edited by Ryszard S. Romaniuk, Andrzej Smolarz, and Waldemar Wójcik. SPIE, 2019. http://dx.doi.org/10.1117/12.2522371.

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Mankevich, Steven M., and Stephen Hambric. "Alternate Approach of Using Spectral Decomposition for the Identification of Structural Resonant Regions." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11447.

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This paper investigates a method called spectral decomposition and is presented as an alternate approach to determine the system frequency response functions of turbomachinery. Spectral decomposition is a method that is based on the principals established by the acoustic similarity laws to determine the spectral characteristics of a source function. The decomposition process was originally implemented to investigate the isolated acoustic source spectra of fans specifically excluding structureborne sources; however, this paper focuses on using the method for the purpose of characterizing the sy
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Pesce, Celso P., Andre´ L. C. Fujarra, and Leonardo K. Kubota. "The Hilbert-Huang Spectral Analysis Method Applied to VIV." In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92119.

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Vortex-Induced Vibration (VIV) is a highly nonlinear dynamic phenomenon. Usual spectral analysis methods rely on the hypotheses of linear and stationary dynamics. A new method envisaged to treat nonlinear and non-stationary signals was presented by Huang et al. [1] : The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. This technique, called thereafter the Hilbert-Huang transform (or spectral analysis) method, is here applied to VIV phenomena, aiming at disclosing some hidden dynamic characteristics, such as the time-modulation and ju
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Bayraktar, S., B. Labitzke, J. Bader, R. Bornemann, P. Haring Bolivar, and A. Kolb. "Efficient, robust, and scale-invariant decomposition of Raman spectra." In 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2013. http://dx.doi.org/10.1109/icsipa.2013.6708025.

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Mazet, V., S. Faisan, A. Masson, M. A. Gaveau, and L. Poisson. "Unsupervised joint Bayesian decomposition of a sequence of photoelectron spectra." In 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2011. http://dx.doi.org/10.1109/whispers.2011.6080918.

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Chih-Ming Hsu, Chii-Ruey Lin, and Jyun-Yan Chuang. "Raman spectra analysis of MWCNTs based on Empirical Model Decomposition." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5641940.

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Li, Liang, Ruizhe Li, and Zhiqiang Chen. "Image-domain Material Decomposition Based on Spectra Recovery in Spectral CT with Photon-counting Detectors." In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2017. http://dx.doi.org/10.1109/nssmic.2017.8532846.

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Burd, Steven W., and Terrence W. Simon. "Turbulence Spectra and Length Scales Measured in Film Coolant Flows Emerging From Discrete Holes." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-190.

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To date, very little attention has been devoted to the scales and turbulence energy spectra of coolant exiting from film cooling holes. Length scale documentation and spectral measurements have primarily been concerned with the freestream flow with which the coolant interacts. Documentation of scales and energy decomposition of the coolant flow leads to more complete understanding of this important flow and the mechanisms by which it disperses and mixes with the freestream. CFD modeling of the emerging flow can use these data as verification that flow computations are accurate. To address this
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Durrieu, Jean-Louis, and Jean-Philippe Thiran. "Sparse non-negative decomposition of speech power spectra for formant tracking." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947544.

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Mousavi, Seyed Amirhossein, fatemeh moradianpour, fatemeh heidari, Seyed Mohammad Yasoubi, Seyed Ehsan Tahami, and Mahdi Azarnoush. "Hand Movement detection Using Empirical Mode Decomposition And Higher Order Spectra." In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2020. http://dx.doi.org/10.1109/hora49412.2020.9152901.

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Reports on the topic "Spectra decomposition"

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Seetho, Isacc M., Steve Azevedo, Jerel Smith, William D. Brown, and Harry E. Martz, Jr. TP89 - SIRZ Decomposition Spectral Estimation. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1342043.

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Santosa, Fadil. Spectral Analysis on the Canonical Autoregressive Decomposition. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada270083.

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Huang, Norden E. The Application of the Empirical Mode Decomposition and Hilbert Spectral Analysis to Field Data and Future Experimental Designs. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada627728.

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Huang, Norden E. The Application of the Empirical Mode Decomposition and Hilbert Spectral Analysis to Field Data and Future Experimental Designs. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada636671.

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Huang, Norden E. Development a Statistical Measure for Empirical Mode Decomposition and Hilbert Spectral Analysis and its Applications to Oceanographic Data. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada634054.

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