Academic literature on the topic 'Distance spectra'
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Journal articles on the topic "Distance spectra"
Navarro, Silvana G., Romano L. M. Corradi, and Antonio Mampaso. "Distance determination to PNe using the extinction-distance method." Proceedings of the International Astronomical Union 7, S283 (July 2011): 460–61. http://dx.doi.org/10.1017/s1743921312011921.
Full textHouston, Heidi, and Hiroo Kanamori. "Comparison of strong-motion spectra with teleseismic spectra for three magnitude 8 subduction-zone earthquakes." Bulletin of the Seismological Society of America 80, no. 4 (August 1, 1990): 913–34. http://dx.doi.org/10.1785/bssa0800040913.
Full textLin, Huiqiu, Dan Li, and Kinkar Ch Das. "Distance between distance spectra of graphs." Linear and Multilinear Algebra 65, no. 12 (January 16, 2017): 2538–50. http://dx.doi.org/10.1080/03081087.2017.1278737.
Full textCvetkovic, Dragos. "Spectral recognition of graphs." Yugoslav Journal of Operations Research 22, no. 2 (2012): 145–61. http://dx.doi.org/10.2298/yjor120925025c.
Full textGarratt, R. C., R. W. Evans, S. S. Hasnain, and P. F. Lindley. "An extended-X-ray-absorption-fine-structure investigation of diferric transferrins and their iron-binding fragments." Biochemical Journal 233, no. 2 (January 15, 1986): 479–84. http://dx.doi.org/10.1042/bj2330479.
Full textBalasubramanian, K. "Distance Spectra and Distance Polynomials of Fullerenes." Journal of Physical Chemistry 99, no. 27 (July 1995): 10785–96. http://dx.doi.org/10.1021/j100027a018.
Full textPaul, Somnath. "On distance and distance Laplacian spectra of corona of two graphs." Discrete Mathematics, Algorithms and Applications 08, no. 01 (February 26, 2016): 1650007. http://dx.doi.org/10.1142/s1793830916500075.
Full textMargolis, J. S. "Spectra at a Distance." Science 259, no. 5098 (February 19, 1993): 1209–10. http://dx.doi.org/10.1126/science.259.5098.1209.
Full textWang, Chun, Yang Huang, Haibo Yuan, Huawei Zhang, Maosheng Xiang, and Xiaowei Liu. "The Value-added Catalog for LAMOST DR8 Low-resolution Spectra." Astrophysical Journal Supplement Series 259, no. 2 (March 28, 2022): 51. http://dx.doi.org/10.3847/1538-4365/ac4df7.
Full textAbdollahi, Alireza, Shahrooz Janbaz, and Mohammad Reza Oboudi. "Distance between spectra of graphs." Linear Algebra and its Applications 466 (February 2015): 401–8. http://dx.doi.org/10.1016/j.laa.2014.10.020.
Full textDissertations / Theses on the topic "Distance spectra"
Taylor, Melinda Marie. "Analysis of Cepheid Spectra." Thesis, The University of Sydney, 1998. http://hdl.handle.net/2123/388.
Full textTaylor, Melinda Marie. "Analysis of Cepheid Spectra." University of Sydney, Physics, 1998. http://hdl.handle.net/2123/388.
Full textHarrell, Dameon C. (Dameon Cartíer) 1976. "Effects of microphone type and distance upon the spectra of speech sounds." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80067.
Full textIncludes bibliographical references (leaf 71).
by Dameon C. Harrell.
S.B.and M.Eng.
Ellouze, Malek. "Propriétés de distance des codes polaires : théorie et applications." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0132.
Full textError-correcting codes are essential for ensuring reliable data transmission, especially in contexts where various interferences may compromise data integrity. Polar codes are one of the most competitive families of error-correcting codes. They can achieve Shannon channel capacity through efficient encoding and decoding for very large code lengths. For these reasons, polar codes have been included in the 5G standard. Additionally, they are the subject of several research efforts for the future 6G standard.However, polar codes, as originally designed for successive cancellation (SC) decoding, exhibit limited performance for moderate code lengths. This is in part due to their weak distance properties and partly to the nature of hard decision decoding. However, with the use of mainly list decoding and several other enhancements, including pre-transformation, polar codes are now competitive with LDPC and turbo codes.In this context, this thesis aims to study and analyze polar codes focusing on two fundamental aspects that influence their performance: their distance properties and their performance for list decoding.After a comprehensive review of polar code definition, various variants, decoding algorithms, and concepts related to their distance spectrum, a first contribution characterizes some distance properties of classical and pre-transformed polar codes. This method has the advantage of being entirely independent of code construction, making it applicable to different configurations. Moreover, the proposed approach distinguishes itself by having lower computational complexity than methods in the existing literature.Polar code puncturing and shortening techniques are introduced as variants to obtain polar codes whose sizes are not necessarily powers of two. A second contribution involves generalizing the developed approach within the thesis to punctured and shortened polar codes. It is noteworthy that this approach can be applied regardless of the puncturing and/or shortening technique used.Finally, the question of the list size necessary for list decoding (SCL) to achieve maximum likelihood performance is addressed. Since this depends on code construction, an algorithm is proposed to estimate the average list size required to achieve the best decoding performance. This constitutes a very useful contribution for constructing codes that offer a compromise between distance properties and list decoding with controlled computational complexity
Chen, Brenden Chong. "Robust image hash functions using higher order spectra." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/61087/1/Brenden_Chen_Thesis.pdf.
Full textEntesar, Abdullah Ali. "Statistical analysis of truck loading on Swedish highways." Thesis, KTH, Transportvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-45980.
Full textNader, Rafic. "A study concerning the positive semi-definite property for similarity matrices and for doubly stochastic matrices with some applications." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC210.
Full textMatrix theory has shown its importance by its wide range of applications in different fields such as statistics, machine learning, economics and signal processing. This thesis concerns three main axis related to two fundamental objects of study in matrix theory and that arise naturally in many applications, that are positive semi-definite matrices and doubly stochastic matrices.One concept which stems naturally from machine learning area and is related to the positive semi-definite property, is the one of similarity matrices. In fact, similarity matrices that are positive semi-definite are of particular importance because of their ability to define metric distances. This thesis will explore the latter desirable structure for a list of similarity matrices found in the literature. Moreover, we present new results concerning the strictly positive definite and the three positive semi-definite properties of particular similarity matrices. A detailed discussion of the many applications of all these properties in various fields is also established.On the other hand, an interesting research field in matrix analysis involves the study of roots of stochastic matrices which is important in Markov chain models in finance and healthcare. We extend the analysis of this problem to positive semi-definite doubly stochastic matrices.Our contributions include some geometrical properties of the set of all positive semi-definite doubly stochastic matrices of order n with nonnegative pth roots for a given integer p. We also present methods for finding classes of positive semi-definite doubly stochastic matrices that have doubly stochastic pth roots for all p, by making use of the theory of M-Matrices and the symmetric doubly stochastic inverse eigenvalue problem (SDIEP), which is also of independent interest.In the context of the SDIEP, which is the problem of characterising those lists of real numbers which are realisable as the spectrum of some symmetric doubly stochastic matrix, we present some new results along this line. In particular, we propose to use a recursive method on constructing doubly stochastic matrices from smaller size matrices with known spectra to obtain new independent sufficient conditions for SDIEP. Finally, we focus our attention on the realizability by a symmetric doubly stochastic matrix of normalised Suleimanova spectra which is a normalized variant of the spectra introduced by Suleimanova. In particular, we prove that such spectra is not always realizable for odd orders and we construct three families of sufficient conditions that make a refinement for previously known sufficient conditions for SDIEP in the particular case of normalized Suleimanova spectra
Godbout, Martin. "Mesures de distances et de spectres résolus en distance en utilisant les battements hétérodynes entre peignes de fréquences." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/27451/27451.pdf.
Full textBertrand, Jérôme. "Pincement spectral en courbure positive." Paris 11, 2003. https://tel.archives-ouvertes.fr/tel-00008705.
Full textOn the set of compact Riemannian manifolds with positive Ricci curvature (normalized by Ric ≥ (n-1)g), the first eigenvalue of the Laplacian acting on functions reaches its minimum only for the round sphere. In this thesis, we characterize, using the Gromov-Hausdorff distance, Riemannian manifolds with positive Ricci curvature whose first eigenvalues are close to those of the round sphere. This property of minimality of the spectrum of the round sphere has been extended by a symmetrization principle, to the Dirichlet spectrum of the geodesic balls of the round sphere among the domains of Riemannian manifolds with positive curvature. We study the domains of Riemannian manifolds with positive Ricci curvature whose first Dirichlet eigenvalue is almost minimal. In particular, we show that a domain whose first Dirichlet eigenvalue is close to the one of a hemisphere is Gromov-Hausdorff close to a hemisphere of a sine warped product
Deborah, Hilda. "Towards spectral mathematical morphology." Thesis, Poitiers, 2016. http://www.theses.fr/2016POIT2328/document.
Full textProviding not only spatial information but also spectral measure as a function of wavelength, hyperspectral imaging boasts a much greater gain in accuracy than the traditional color imaging. And for this capability, hyperspectral imaging has been employed for quality control, inspection of materials in various fields. However, to fully exploit this potential, it is important to process the spectral data as a measure. This induces the need of metrology where accuracy, uncertainty, and bias are managed at every level of processing.Aiming at developing a metrological image processing framework for spectral data, we select to develop a nonlinear approach using the mathematical morphology framework and extended it to the spectral domain by means of a distance-based ordering relation. A novel spectral distance function and spectral ordering relation are proposed, in addition of a new analysis tools based on spectral differences. To ensure the validity of the spectral mathematical morphology framework, rigorous theoretical validation and metrological assessment are carried out at each development stages. So, protocols for quality assessment of spectral image processing tools are developed. These protocols consist of artificial datasets to validate completely the theoretical requirements, datasets with known characteristics to assess the robustness and stability, and datasets from real cases to proof the usefulness of the framework on applicative context. The application tasks themselves are within the cultural heritage domain, where the target images come from pigments and paintings
Hyperspektral avbildning muliggjør mye mer nøyaktige målinger enn tradisjonelle gråskala og fargebilder, gjennom både høy romlig og spektral oppløsning (funksjon av bølgelengde). På grunn av dette har hyperspektral avbildning blitt anvendt i økende grad ulike applikasjoner som kvalitetskontroll og inspeksjon av materialer. Men for å fullt ut utnytte sitt potensiale, er det viktig å være i stand til å behandle spektrale bildedata som målinger på en gyldig måte. Dette induserer behovet for metrologi, der nøyaktighet, usikkerhet og skjevhet blir adressert og kontrollert på alle nivå av bildebehandlingen.Med sikte på å utvikle et metrologisk rammeverk for spektral bildebehandling valgte vi en ikke-lineær metodikk basert på det etablerte matematisk morfologi-rammeverket. Vi har utvidet dette rammeverket til det spektrale domenet ved hjelp av en avstandsbasert sorteringsrelasjon. En ny spektral avstandsfunksjon og nye spektrale sorteringsrelasjoner ble foreslått, samt nye verktøy for spektral bildeanalyse basert på histogrammer av spektrale forskjeller.For å sikre gyldigheten av det nye spektrale rammeverket for matematisk morfologi, har vi utført en grundig teoretisk validering og metrologisk vurde-ring på hvert trinn i utviklingen. Dermed er og-så nye protokoller for kvalitetsvurdering av spektrale bildebehandlingsverktøy utviklet. Disse protokollene består av kunstige datasett for å validere de teoretiske måletekniske kravene, bildedatasett med kjente egenskaper for å vurdere robustheten og stabiliteten, og datasett fra reelle anvendelser for å bevise nytten av rammeverket i en anvendt sammenheng. De valgte anvendelsene er innenfor kulturminnefeltet, hvor de analyserte bildene er av pigmenter og malerier
Books on the topic "Distance spectra"
Elliott, James L. New mysteries at Chiron: Final technical report. [Washington, DC: National Aeronautics and Space Administration, 1998.
Find full textPatanè, Giuseppe. An Introduction to Laplacian Spectral Distances and Kernels. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02593-8.
Full textJ, Maddox S., and Aragón-Salamanca A, eds. Wide field spectroscopy and the distant universe: The 35th Herstmonceux Conference, Cambridge, United Kingdom, July 4-8, 1994. Singapore: World Scientific, 1995.
Find full textEdmunds, D. E., and W. D. Evans. Essential Spectra of General Second-Order Differential Operators. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198812050.003.0010.
Full textMumenthaler, Christian. Self-correcting distance geometry for the automatic assignment of NMR NOESY spectra and the prediction of protein tertiary structures. 1996.
Find full textEland, John H. D., and Raimund Feifel. Mainly aliphatic molecules. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198788980.003.0007.
Full textGreyser, Naomi. “Spectres of Liberty” and the Archive. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190460983.003.0007.
Full textPatane, Giuseppe. Introduction to Laplacian Spectral Distances and Kernels: Theory, Computation, and Applications. Morgan & Claypool Publishers, 2017.
Find full textPatanè, Giuseppe. Introduction to Laplacian Spectral Distances and Kernels: Theory, Computation, and Applications. Springer International Publishing AG, 2017.
Find full textPatanè, Giuseppe, and Brian A. Barsky. Introduction to Laplacian Spectral Distances and Kernels: Theory, Computation, and Applications. Morgan & Claypool Publishers, 2017.
Find full textBook chapters on the topic "Distance spectra"
Sun, Rui, and Wanwan Qi. "Quantitative Evaluation of Four Kinds of Site Seismic Response Analysis Methods Using DTW." In Lecture Notes in Civil Engineering, 495–502. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1748-8_43.
Full textHustedt, Eric J., and Albert H. Beth. "Structural Information from CW-EPR Spectra of Dipolar Coupled Nitroxide Spin Labels." In Distance Measurements in Biological Systems by EPR, 155–84. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/0-306-47109-4_3.
Full textCornean, Horia D., and Radu Purice. "On the Regularity of the Hausdorff Distance Between Spectra of Perturbed Magnetic Hamiltonians." In Spectral Analysis of Quantum Hamiltonians, 55–66. Basel: Springer Basel, 2012. http://dx.doi.org/10.1007/978-3-0348-0414-1_4.
Full textReames, Donald V. "High Energies and Radiation Effects." In Solar Energetic Particles, 135–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66402-2_6.
Full textKveder, Vitaly, Valeri I. Orlov, M. Khorosheva, and Michael Seibt. "Influence of the Dislocation Travel Distance on the DLTS Spectra of Dislocations in Cz-Si." In Solid State Phenomena, 175–82. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/3-908451-43-4.175.
Full textBuendia-Aviles, Sonia, Margarita Cunill-Rodríguez, José A. Delgado-Atencio, José L. Arce-Diego, and Félix Fanjul-Vélez. "Influence of Tilt Angle and Probe-Sample Distance on Tissue Diagnosis by Diffuse Reflection Spectra." In IFMBE Proceedings, 447–52. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49068-2_46.
Full textPatanè, Giuseppe. "Discrete Spectral Distances." In An Introduction to Laplacian Spectral Distances and Kernels, 53–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02593-8_4.
Full textZou, Qiang, Hui Fang, Fei Liu, Wenwen Kong, and Yong He. "Comparative Study of Distance Discriminant Analysis and Bp Neural Network for Identification of Rapeseed Cultivars Using Visible/Near Infrared Spectra." In Computer and Computing Technologies in Agriculture IV, 124–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18369-0_15.
Full textLiu, Rong, Hao Zhang, and Oliver van Kaick. "Spectral Sequencing Based on Graph Distance." In Geometric Modeling and Processing - GMP 2006, 630–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802914_50.
Full textWang, Nian, Jun Tang, Jiang Zhang, Yi-Zheng Fan, and Dong Liang. "Spectral Edit Distance Method for Image Clustering." In Advances in Data and Web Management, 350–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72524-4_37.
Full textConference papers on the topic "Distance spectra"
Robles-Kelly and Hancock. "Edit distance from graph spectra." In ICCV 2003: 9th International Conference on Computer Vision. IEEE, 2003. http://dx.doi.org/10.1109/iccv.2003.1238347.
Full textXie, Kai, and Jing Li. "Evaluating Distance Spectra for Turbo Codes." In IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference. IEEE, 2007. http://dx.doi.org/10.1109/glocom.2007.583.
Full textChbat, M. W., P. R. Prucnal, M. N. Islam, C. E. Soccolich, and J. P. Gordon. "Spectral interference effects in long-distance soliton propagation." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thss3.
Full textEuán, Carolina, Joaquín Ortega, and Pedro C. Alvarez-Esteban. "Detecting Stationary Intervals for Random Waves Using Time Series Clustering." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24269.
Full textSchaefer, Bradley E. "Distance to gamma ray bursts from their soft x-ray spectra." In Gamma-ray bursts: Second workshop. AIP, 1994. http://dx.doi.org/10.1063/1.45892.
Full textDykman, M. I., R. Mannella, P. V. E. McClintock, and N. G. Stocks. "Super-Narrow Spectral Peaks: New Critical Phenomena in Optically Bistable Systems." In Nonlinear Dynamics in Optical Systems. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/nldos.1990.ob266.
Full textWang, Dong, Bin He, and Quanhu Zhang. "Application of Genetic Algorithm in Neutron Spectrum Unfolding." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29184.
Full textArena, Felice, and C. Guedes Soares. "On Sequence of High Waves in Nonlinear Groups." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57889.
Full textWang, Yu, Sufen Li, Yonggang Huo, Jianqing Yang, and Quanhu Zhang. "Explainable Neural Network Algorithm for Rapid Radionuclide Identification Under Low Count Gamma-Ray Spectrum Data." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-92829.
Full textBocharova, Irina E., Boris D. Kudryashov, and Vitaly Skachek. "Euclidean Distance Spectra of Irregular NB LDPC Coded QAM Signals with Optimized Mappings." In 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, 2021. http://dx.doi.org/10.1109/isit45174.2021.9518126.
Full textReports on the topic "Distance spectra"
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, November 2001. http://dx.doi.org/10.32747/2001.7580664.bard.
Full textJay. L51710 Active Noise Silencing. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1994. http://dx.doi.org/10.55274/r0010333.
Full textChapman, Martin C., G. A. Bollinger, and Matthew S. Sibol. Modeling Delay-Fired Explosion Spectra and Source Function Deconvolution at Regional Distances. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada260232.
Full textWhite, H. P., W. Chen, and S G Leblanc. Satellite observations for detection of dust from mining activities in a caribou habitat, Northwest Territories and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330548.
Full textZilberman, Mark. Shouldn’t Doppler 'De-boosting' be accounted for in calculations of intrinsic luminosity of Standard Candles? Intellectual Archive, September 2021. http://dx.doi.org/10.32370/iaj.2569.
Full textSi, Hongjun, Saburoh Midorikawa, and Tadahiro Kishida. Development of NGA-Sub Ground-Motion Model of 5%-Damped Pseudo-Spectral Acceleration Based on Database for Subduction Earthquakes in Japan. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, December 2020. http://dx.doi.org/10.55461/lien3652.
Full textZilberman, Mark. “Doppler de-boosting” and the observation of “Standard candles” in cosmology. Intellectual Archive, July 2021. http://dx.doi.org/10.32370/iaj.2549.
Full textZilberman, Mark. PREPRINT. “Doppler de-boosting” and the observation of “Standard candles” in cosmology. Intellectual Archive, June 2021. http://dx.doi.org/10.32370/ia_2021_06_23.
Full textZilberman, Mark. "Doppler De-boosting" and the Observation of "Standard Candles" in Cosmology. Intellectual Archive, July 2021. http://dx.doi.org/10.32370/iaj.2552.
Full textKeahava, N. Distance Metrics and Band Selection in Hyperspectral Processing with Applications to Material Identification and Spectral Libraries. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada409023.
Full text