Добірка наукової літератури з теми "Spectral mixtures"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Spectral mixtures".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Spectral mixtures"
Lo, Su-Chin, and Chris W. Brown. "Infrared Spectral Search for Mixtures in Medium-Size Libraries." Applied Spectroscopy 45, no. 10 (December 1991): 1621–27. http://dx.doi.org/10.1366/0003702914335256.
Повний текст джерелаDucasse, Etienne, Karine Adeline, Xavier Briottet, Audrey Hohmann, Anne Bourguignon, and Gilles Grandjean. "Montmorillonite Estimation in Clay–Quartz–Calcite Samples from Laboratory SWIR Imaging Spectroscopy: A Comparative Study of Spectral Preprocessings and Unmixing Methods." Remote Sensing 12, no. 11 (May 27, 2020): 1723. http://dx.doi.org/10.3390/rs12111723.
Повний текст джерелаBrown, Chris W., Anne E. Okafor, Steven M. Donahue, and Su-Chin Lo. "UV-Visible Spectral Library Search with Mixtures." Applied Spectroscopy 49, no. 7 (July 1995): 1022–27. http://dx.doi.org/10.1366/0003702953964723.
Повний текст джерелаMagazù, S., E. Calabrò, and M. T. Caccamo. "Experimental Study of Thermal Restraint in Bio-Protectant Disaccharides by FTIR Spectroscopy." Open Biotechnology Journal 12, no. 1 (July 31, 2018): 123–33. http://dx.doi.org/10.2174/1874070701812010123.
Повний текст джерелаAnastasiadis, Johannes, and Michael Heizmann. "GAN-regularized augmentation strategy for spectral datasets." tm - Technisches Messen 89, no. 4 (February 5, 2022): 278–88. http://dx.doi.org/10.1515/teme-2021-0109.
Повний текст джерелаGolyak, I. S., E. R. Kareva, I. L. Fufurin, D. R. Anfimov, A. V. Scherbakova, A. O. Nebritova, P. P. Demkin, and A. N. Morozov. "Numerical methods of spectral analysis of multicomponent gas mixtures and human exhaled breath." Computer Optics 46, no. 4 (August 2022): 650–58. http://dx.doi.org/10.18287/2412-6179-co-1058.
Повний текст джерелаLo, Su-Chin, and Chris W. Brown. "Infrared Spectral Search for Mixtures in Large-Size Libraries." Applied Spectroscopy 45, no. 10 (December 1991): 1628–32. http://dx.doi.org/10.1366/0003702914335111.
Повний текст джерелаNyden, Marc R., and Krishnan Chittur. "Component Spectrum Reconstruction from Partially Characterized Mixtures." Applied Spectroscopy 43, no. 1 (January 1989): 123–28. http://dx.doi.org/10.1366/0003702894201743.
Повний текст джерелаCiarniello, Mauro, Lyuba V. Moroz, Olivier Poch, Vassilissa Vinogradoff, Pierre Beck, Batiste Rousseau, Istiqomah Istiqomah, et al. "VIS-IR Spectroscopy of Mixtures of Water Ice, Organic Matter, and Opaque Mineral in Support of Small Body Remote Sensing Observations." Minerals 11, no. 11 (November 3, 2021): 1222. http://dx.doi.org/10.3390/min11111222.
Повний текст джерелаKulko, Roman-David, Alexander Pletl, Andreas Hanus, and Benedikt Elser. "Detection of Plastic Granules and Their Mixtures." Sensors 23, no. 7 (March 24, 2023): 3441. http://dx.doi.org/10.3390/s23073441.
Повний текст джерелаДисертації з теми "Spectral mixtures"
Ajohani, Maha. "SPECTRAL PHASOR ANALYSIS ON ABSORBANCE SPECTRA FOR QUANTIFYING THE CONTENT OF DYE MIXTURES." Miami University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=miami1464191406.
Повний текст джерелаVlack, Yvette A. "A Diffuse Spectral Reflectance Library of Clay Minerals and Clay Mixtures within the VIS/NIR Bands." Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1227006436.
Повний текст джерелаLuo, Zhaohui. "GC/FT-ICR Mass Spectral Analysis of Complex Mixtures: A Multidimensional Approach for Online Gas Phase Basicity Measurements." Fogler Library, University of Maine, 2006. http://www.library.umaine.edu/theses/pdf/LuoZX2006.pdf.
Повний текст джерелаRaksuntorn, Nareenart. "Unsupervised spectral mixture analysis for hyperspectral imagery." Diss., Mississippi State : Mississippi State University, 2009. http://library.msstate.edu/etd/show.asp?etd=etd-04192009-142516.
Повний текст джерелаLevi, Di Leon Rémi. "Etude théorique et expérimentale de l'absorption par CO2 et H2O dans le domaine infrarouge à température élevée." Châtenay-Malabry, Ecole centrale de Paris, 1986. http://www.theses.fr/1986ECAP0026.
Повний текст джерелаParra, Vásquez Gabriel Enrique. "Spectral mixture kernels for Multi-Output Gaussian processes." Tesis, Universidad de Chile, 2017. http://repositorio.uchile.cl/handle/2250/150553.
Повний текст джерелаMulti-Output Gaussian Processes (MOGPs) are the multivariate extension of Gaussian processes (GPs \cite{Rasmussen:2006}), a Bayesian nonparametric method for univariate regression. MOGPs address the multi-channel regression problem by modeling the correlation in time and/or space (as scalar GPs do), but also across channels and thus revealing statistical dependencies among different sources of data. This is crucial in a number of real-world applications such as fault detection, data imputation and financial time-series analysis. Analogously to the univariate case, MOGPs are entirely determined by a multivariate covariance function, which in this case is matrix valued. The design of this matrix-valued covariance function is challenging, since we have to deal with the trade off between (i) choosing a broad class of cross-covariances and auto-covariances, while at the same time (ii) ensuring positive definiteness of the symmetric matrix containing these scalar-valued covariance functions. In the stationary univariate case, these difficulties can be bypassed by virtue of Bochner's theorem, that is, by building the covariance function in the spectral (Fourier) domain to then transform it to the time and/or space domain, thus yielding the (single-output) Spectral Mixture kernel \cite{Wilson:2013}. A classical approach to define multivariate covariance functions for MOGPs is through linear combinations of independent (latent) GPs; this is the case of the Linear Model of Coregionalization (LMC \cite{goo1997}) and the Convolution Model \cite{Alvarez:2008}. In these cases, the resulting multivariate covariance function is a function of both the latent-GP covariances and the linear operator considered, which usually results in symmetric cross-covariances that do not admit lags across channels. Due to their simplicity, these approaches fail to provide interpretability of the dependencies learnt and force the auto-covariances to have similar structure. The main purpose of this work is to extend the spectral mixture concept to MOGPs: We rely on Cram\'er's theorem \cite, the multivariate version of Bochner's theorem, to propose an expressive family of complex-valued square-exponential cross-spectral densities, which, through the Fourier transform yields the Multi-Output Spectral Mixture kernel (MOSM). The proposed MOSM model provides clear interpretation of all the parameters in spectral terms. Besides the theoretical presentation and interpretation of the proposed multi-output covariance kernel based on square-exponential spectral densities, we inquiry the plausibility of complex-valued t-Student cross-spectral densities. We validate our contribution experimentally through an illustrative example using a tri-variate synthetic signal, and then compare it against all the aforementioned methods on two real-world datasets.
Stuttle, Matthew Nicholas. "A gaussian mixture model spectral representation for speech recognition." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620077.
Повний текст джерелаRaman, Pujita. "Speaker Identification and Verification Using Line Spectral Frequencies." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52964.
Повний текст джерелаMaster of Science
Gurden, Stephen P. "Deconvolution of vapour-phase mid-infrared mixture spectra of organic solvents using chemometrics." Thesis, University of Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337176.
Повний текст джерелаKressler, Florian. "The Integration of Remote Sensing and Ancillary Data." WU Vienna University of Economics and Business, 1996. http://epub.wu.ac.at/4256/1/WSG_RR_0896.pdf.
Повний текст джерелаSeries: Research Reports of the Institute for Economic Geography and GIScience
Книги з теми "Spectral mixtures"
Hawaii Institute of Geophysics. Planetary Geosciences Division. and United States. National Aeronautics and Space Administration., eds. Spectral reflectance (0.4 - 5.0 [microns]) of sulfur related compounds and mixtures. Honolulu, Hawaii: Planetary Geosciences Division, Hawaii Institute of Geophysics, University of Hawaii, 1987.
Знайти повний текст джерелаHawaii Institute of Geophysics. Planetary Geosciences Division. and United States. National Aeronautics and Space Administration., eds. Spectral reflectance (0.4 - 5.0 [microns]) of sulfur related compounds and mixtures. Honolulu, Hawaii: Planetary Geosciences Division, Hawaii Institute of Geophysics, University of Hawaii, 1987.
Знайти повний текст джерелаShimabukuro, Yosio Edemir, and Flávio Jorge Ponzoni. Spectral Mixture for Remote Sensing. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02017-0.
Повний текст джерелаLin, Li, He Guoqi, and United States. National Aeronautics and Space Administration., eds. Nonlinear spectral mixture modeling of lunar multispectral: Implications for lateral transport. [Washington, DC: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаWehrmeyer, Joseph A. Temperature and mixture fraction profiles in counterflow diffusion flames using linewise Raman imaging. Washington, D. C: AIAA, 1995.
Знайти повний текст джерелаSo odd a mixture: Along the autistic spectrum in Pride and prejudice. London: Jessica Kingsley Publishers, 2007.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. NONLINEAR SPECTRAL MIXTURE MODELING OF LUNAR MULTISPECTRAL: IMPLICATIONS FOR LATERAL TRANSPORT... NASA/CR-1998-208863... SEP. 10, 1999. [S.l: s.n., 2000.
Знайти повний текст джерелаRuckebusch, Cyril. Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging. Elsevier Science & Technology Books, 2016.
Знайти повний текст джерелаRuckebusch, Cyril. Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging. Elsevier, 2016.
Знайти повний текст джерелаResolving Spectral Mixtures - With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging. Elsevier, 2016. http://dx.doi.org/10.1016/c2015-0-00401-4.
Повний текст джерелаЧастини книг з теми "Spectral mixtures"
Achlioptas, Dimitris, and Frank McSherry. "On Spectral Learning of Mixtures of Distributions." In Learning Theory, 458–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11503415_31.
Повний текст джерелаLuo, Bin, and Sibao Chen. "LPP and LPP Mixtures for Graph Spectral Clustering." In Advances in Image and Video Technology, 118–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11949534_12.
Повний текст джерелаBarteneva, Natasha S., Aigul Kussanova, Veronika Dashkova, Ayagoz Meirkhanova, and Ivan A. Vorobjev. "Using Virtual Filtering Approach to Discriminate Microalgae by Spectral Flow Cytometer." In Methods in Molecular Biology, 23–40. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3020-4_2.
Повний текст джерелаSaylani, Hicham, Shahram Hosseini, and Yannick Deville. "Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation." In Independent Component Analysis and Signal Separation, 322–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00599-2_41.
Повний текст джерелаMei, Tiemin, Jiangtao Xi, Fuliang Yin, and Joe F. Chicharo. "Joint Diagonalization of Power Spectral Density Matrices for Blind Source Separation of Convolutive Mixtures." In Advances in Neural Networks – ISNN 2005, 520–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427445_85.
Повний текст джерелаAlekhin, A. D., S. G. Ostapchenko, D. B. Svydka, and D. I. Malyarenko. "Spectral Kinetic and Correlation Characteristics of Inhomogeneous Mixtures in the Vicinity of the Critical Point of Stratification." In Light Scattering and Photon Correlation Spectroscopy, 441–60. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5586-1_37.
Повний текст джерелаChang, Chein-I. "Linear Spectral Mixture Analysis." In Real-Time Progressive Hyperspectral Image Processing, 37–73. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4419-6187-7_2.
Повний текст джерелаHannah, Robert W. "Infrared Spectra of Mixtures." In Course Notes on the Interpretation of Infrared and Raman Spectra, 461–504. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471690082.ch14.
Повний текст джерелаShimabukuro, Yosio Edemir, and Flávio Jorge Ponzoni. "The Linear Spectral Mixture Model." In Springer Remote Sensing/Photogrammetry, 23–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02017-0_4.
Повний текст джерелаHutchins, Tiffany, Giacomo Vivanti, Natasa Mateljevic, Roger J. Jou, Frederick Shic, Lauren Cornew, Timothy P. L. Roberts, et al. "Mixture Modeling." In Encyclopedia of Autism Spectrum Disorders, 1887. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100887.
Повний текст джерелаТези доповідей конференцій з теми "Spectral mixtures"
Verzhbitskiy, I. A., M. Chrysos, A. P. Kouzov, F. Rachet, John Lewis, and Adriana Predoi-Cross. "Double Raman Scattering In Gas Mixtures." In 20TH INTERNATIONAL CONFERENCE ON SPECTRAL LINE SHAPES. AIP, 2010. http://dx.doi.org/10.1063/1.3517542.
Повний текст джерелаMakarewicz, Joseph S., and Heather D. Makarewicz. "Spectral mixture decomposition using principal component analysis applied to pyroxene mixtures." In 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2013. http://dx.doi.org/10.1109/whispers.2013.8080604.
Повний текст джерелаBorysow, Aleksandra, Lothar Frommhold, and Wilfried Meyer. "The collision induced rotovibrational absorption bands of hydrogen and hydrogen-helium mixtures-new results." In Spectral line shapes. AIP, 1990. http://dx.doi.org/10.1063/1.39899.
Повний текст джерелаWeiss, Shmuel. "Simulation of the collision-induced absorption spectrum of gaseous rare gas mixtures including ternary contributions." In Spectral line shapes. AIP, 1990. http://dx.doi.org/10.1063/1.39970.
Повний текст джерелаSolovjov, Vladimir P., Denis Lemonnier, and Brent W. Webb. "SLW-1 Modeling of Radiative Heat Transfer in Non-Isothermal Non-Homogeneous Gas Mixtures With Soot." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22299.
Повний текст джерелаSubakan, Yusuf Cem, O. Celiktutan, A. T. Cemgil, and B. Sankur. "Spectral learning of mixtures of Hidden Markov Models." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531340.
Повний текст джерелаHonciuc, Maria, Eugenia G. Carbunescu, Carmen Popa, Elena Slavnicu, and Iulian Badragan. "Spectral study of some fatty acid-cholesterol mixtures." In SIOEL: Sixth Symposium of Optoelectronics, edited by Teodor Necsoiu, Maria Robu, and Dan C. Dumitras. SPIE, 2000. http://dx.doi.org/10.1117/12.378644.
Повний текст джерелаField, Paul E., and Roger J. Combs. "Infrared spectral evaluation of methanol/ammonia vapor mixtures." In Optics East, edited by Arthur J. Sedlacek III, Steven D. Christesen, Tuan Vo-Dinh, and Roger J. Combs. SPIE, 2004. http://dx.doi.org/10.1117/12.565164.
Повний текст джерелаKryukov, N. A., P. A. Saveliev, and M. A. Tchaplyguine. "Radiation spectroscopy of heavy rare-gas excimers and their mixtures." In The 13th international conference on spectral line shapes. AIP, 1997. http://dx.doi.org/10.1063/1.51853.
Повний текст джерелаMehrubeoglu, M., P. V. Zimba, L. L. McLauchlan, and M. Y. Teng. "Spectral unmixing of three-algae mixtures using hyperspectral images." In 2013 IEEE Sensors Applications Symposium (SAS). IEEE, 2013. http://dx.doi.org/10.1109/sas.2013.6493565.
Повний текст джерелаЗвіти організацій з теми "Spectral mixtures"
Pokrzywinski, Kaytee, Cliff Morgan, Scott Bourne, Molly Reif, Kenneth Matheson, and Shea Hammond. A novel laboratory method for the detection and identification of cyanobacteria using hyperspectral imaging : hyperspectral imaging for cyanobacteria detection. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40966.
Повний текст джерелаIrizarry, Alfredo V. The Spectral Mixture Models: A Minimum Information Divergence Approach. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada519885.
Повний текст джерелаDwyer, Roger F. Fourth-Order Spectra of Mixture and Modulated Processes. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada203398.
Повний текст джерелаSchlack, Trevor, Samuel Beal, Elizabeth Corriveau, and Jay Clausen. Detection limits of trinitrotoluene and ammonium nitrate in soil by Raman spectroscopy. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43302.
Повний текст джерелаWoods, K. N., and H. Wiedemann. The Influence of Chain Dynamics on the Far Infrared Spectrum of Liquid Methanol-Water Mixtures. Office of Scientific and Technical Information (OSTI), July 2005. http://dx.doi.org/10.2172/878842.
Повний текст джерелаDawn, William C. An Analytic Benchmark for the Solution to the Isotopic Fission Spectrum Mixture Problem. Office of Scientific and Technical Information (OSTI), January 2020. http://dx.doi.org/10.2172/1593873.
Повний текст джерелаGriem, H. Experimental study of population inversion and spectral line broadening in a plasma containing a mixture of high Z and low Z ions. Office of Scientific and Technical Information (OSTI), October 1988. http://dx.doi.org/10.2172/7264387.
Повний текст джерелаAsenath-Smith, Emily, Emma Ambrogi, Eftihia Barnes, and Jonathon Brame. CuO enhances the photocatalytic activity of Fe₂O₃ through synergistic reactive oxygen species interactions. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42131.
Повний текст джерелаPaesani, Francesco, and Wei Xiong. Probing the Structure and Dynamics of Fluid Mixtures in Porous Materials Through Ultrafast Vibrational Spectro-Microscopy and Many-Body Molecular Dynamics. Office of Scientific and Technical Information (OSTI), December 2022. http://dx.doi.org/10.2172/1901582.
Повний текст джерела