Literatura científica selecionada sobre o tema "Applications de traitement du signal"
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Artigos de revistas sobre o assunto "Applications de traitement du signal"
-Charbit, Maurice. "Du traitement du signal aux applications grand public". Revue de l'Electricité et de l'Electronique -, n.º 06 (1997): 16. http://dx.doi.org/10.3845/ree.1997.073.
Texto completo da fonteTachoire, Henri, Jean-Luc Macqueron e Vincent Torra. "Traitement du signal en microcalorimetrie: applications en cinetique et en thermodynamique". Thermochimica Acta 105 (setembro de 1986): 333–67. http://dx.doi.org/10.1016/0040-6031(86)85249-2.
Texto completo da fonteGharbi, Mohamed, e Mohamed Aymen Labiod. "Une application comparative pour l’enseignement des méthodes de compression d’images par transformées orthogonales". J3eA 21 (2022): 2039. http://dx.doi.org/10.1051/j3ea/20222039.
Texto completo da fonteAdeline, Karine R. M., Arnaud Le Bris, Fabien Coubard, Xavier Briottet, Nicolas Paparoditis, Françoise Viallefond, Nicolas Rivière et al. "Description de la campagne aéroportée UMBRA : étude de l'impact anthropique sur les écosystèmes urbains et naturels avec des images THR multispectrales et hyperspectrales". Revue Française de Photogrammétrie et de Télédétection, n.º 202 (16 de abril de 2014): 79–92. http://dx.doi.org/10.52638/rfpt.2013.53.
Texto completo da fonteCohen, David, Sylvie Viaux, Catherine Saint-georges, Chloé Leclère, Mohamed Chétouani e Jean Xavier. "Intérêts de l’étude des interactions précoces mère-bébé par des méthodes automatisées de traitement du signal social : applications à la psychopathologie". Bulletin de l'Académie Nationale de Médecine 200, n.º 6 (junho de 2016): 1203–20. http://dx.doi.org/10.1016/s0001-4079(19)30639-9.
Texto completo da fonteBaray, J. "Optimisation de la localisation commerciale : une application du traitement du signal et du modele p-median". Recherche et Applications en Marketing 18, n.º 3 (1 de setembro de 2003): 31–44. http://dx.doi.org/10.1177/076737010301800303.
Texto completo da fonteChouaf, Seloua, e Youcef Smara. "Méthode de sélection des bandes à base de l'Analyse en Composantes Indépendantes appliquée aux images hyperspectrales de télédétection". Revue Française de Photogrammétrie et de Télédétection, n.º 204 (8 de abril de 2014): 57–62. http://dx.doi.org/10.52638/rfpt.2013.22.
Texto completo da fonteAntoine, Jean-Pierre. "L'analyse en ondelettes". Revue des questions scientifiques 189, n.º 1-2 (1 de janeiro de 2018): 5–49. http://dx.doi.org/10.14428/qs.v189i1-2.68713.
Texto completo da fonteMicoulaud Franchi, J. A. "Le neurofeedback comme outil de compréhension et de régulation de l’attention". European Psychiatry 28, S2 (novembro de 2013): 13. http://dx.doi.org/10.1016/j.eurpsy.2013.09.030.
Texto completo da fonteDejoux, Jean-François, Gérard Dedieu, Olivier Hagolle, Danièle Ducrot, Jean-Claude Menaut, Eric Ceschia, Frédéric Baup et al. "Kalideos OSR MiPy : un observatoire pour la recherche et la démonstration des applications de la télédétection à la gestion des territoires". Revue Française de Photogrammétrie et de Télédétection, n.º 197 (22 de abril de 2014): 17–30. http://dx.doi.org/10.52638/rfpt.2012.79.
Texto completo da fonteTeses / dissertações sobre o assunto "Applications de traitement du signal"
Vallet, Pascal. "Matrices aléatoires et applications au traitement statistique du signal". Phd thesis, Université Paris-Est, 2011. http://pastel.archives-ouvertes.fr/pastel-00674747.
Texto completo da fonteHamie, Ali. "Traitement statistique du signal : applications en biologie et économie". Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAS012/document.
Texto completo da fonteIn this thesis, we focus on developing mathematical tools to treat a range of biological and economic signals. First, we propose the Dynalet transform for non-symmetrical biological relaxation signals. This transform is considered as an alternative to the Fourier transform and the wavelet transform. The applicability of the new approximation approach is illustrated on real data. Then, for spectrometric biological signals, we correct the baseline using a penalized expectile regression. Thus, the proposed applications show that our proposed regression is more efficient than the quantile regression. Then to remove random noise, we adapt to spectrometric data a new denoising method that combine wavelets, soft thresholding rule and PLS components. Finally, note that the biological signals may be often regarded as functional data. On one hand, we develop a functional local likelihood aiming to perform a supervised classification of curves. On the other hand, we estimate the regression operator with positive responses, by minimizing the mean squared relative error. Moreover, The asymptotic distributions of our estimator are established and their efficiency is illustrated on a simulation study and on a spectroscopic and economic data set
Nguyen, Quang-Thang. "Contributions to Statistical Signal Processing with Applications in Biomedical Engineering". Télécom Bretagne, 2012. http://www.telecom-bretagne.eu/publications/publication.php?idpublication=13290.
Texto completo da fonteThis PhD thesis presents some contributions to Statistical Signal Processing with applications in biomedical engineering. The thesis is separated into two parts. In the first part, the detection of protein interface hotspots ¿ the residues that play the most important role in protein interaction ¿ is considered in the Machine Learning framework. The Random Forests is used as the classifier. A new family of protein hotspot descriptors is also introduced. These descriptors are based exclusively on the primary one-dimensional amino acid sequence. No information on the three dimensional structure of the protein or the complex is required. These descriptors, capturing the protein frequency characteristics, make it possible to get an insight into how the protein primary sequence can determine its higher structure and its function. In the second part, the RDT (Random Distortion Testing) robust hypothesis testing is considered. Its application to signal detection is shown to be resilient to model mismatch. We propose an extension of RDT in the sequential decision framework, namely Sequential RDT. Three classical signal deviation/distortion detection problems are reformulated and cast into the RDT framework. Using RDT and Sequential RDT, we investigate the detection of AutoPEEP (auto-Positive End Expiratory Pressure), a common ventilatory abnormality during mechanical ventilation. This is the first work of that kind in the state-of-the-art. Extension to the detection of other types of asynchrony is also studied and discussed. These early detectors of AutoPEEP and asynchrony are key elements of an automatic and continuous patient-ventilator interface monitoring framework
Nyamsi, Lonzenu Madeleine. "Prototypage d'architectures pour des applications de traitement numérique du signal". Rennes 1, 2005. http://www.theses.fr/2005REN1S120.
Texto completo da fonteNyamsi, Lonzenu Madeleine Quinton Patrice. "Prototypage d'architectures pour des applications de traitement numérique du signal". [S.l.] : [s.n.], 2005. ftp://ftp.irisa.fr/techreports/theses/2005/nyamsi.pdf.
Texto completo da fontePapakonstantinou, Konstantinos. "Les applications du traitement du signal statistique à la localisation mobile". Paris, Télécom ParisTech, 2010. http://www.theses.fr/2010ENST0041.
Texto completo da fonteIn this work we attack the problem of mobile terminal (MT) location estimation in NLoS environments. Traditional localization methods are 2-step processes: In the 1st step a set of location-dependent parameters (LDP) is estimated. In the 2nd step, the MT location is estimated by finding the position that best fits the LDP estimates. For the 1st step we have developed a high-resolution low-complexity LDP estimation algorithm (4D Unitary ESPRIT) for MIMO-OFDM systems, to estimate the angles of arrival (AoA), the angles of departure (AoD), the delays (ToA) and the Doppler shifts (DS) of the multipath components (MPC). As far as the second step of localization is concerned, we developed several hybrid methods applicable to NLoS environments. In the NLoS localization problem, mapping the LDP estimates to the location of the MT is not trivial. To this end, we utilize static and dynamic geometrical channel models (eg. SBM). The 2 great advantages of the SBM-based methods are the identifiability even for cases when LDP estimates are available for only 2 MPC and the remarkable performance for cases when the channel is richer. Due to these great advantages, we consider SBM-based methods to be an appealing solution for the NLoS localization problem. Moreover, we have developed a direct location estimation (DLE) method for MIMO-OFDM systems. In contrast to traditional methods, DLE estimates the MT location directly from the received signal. Its main advantage is the enhanced accuracy at low to medium signal-to-noise ratio (SNR) and/or with small number of data samples, as demonstrated by our results
Daoudi, Khalid. "Généralisations des systèmes de fonctions itérées : applications au traitement du signal". Paris 9, 1996. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1996PA090078.
Texto completo da fonteBenjelloun, Touimi Abdellatif. "Traitement du signal audio dans le domaine code : techniques et applications". Paris, ENST, 2001. http://www.theses.fr/2001ENST0018.
Texto completo da fonteGRIMAL, BRUNO. "Synthese d'architectures autotestables dediees a des applications de traitement du signal". Rennes 1, 1994. http://www.theses.fr/1994REN10173.
Texto completo da fonteBenjelloun, Touimi Abdellatif. "Traitement du signal audio dans le domaine codé : techniques et applications /". Paris : École nationale supérieure des télécommunications, 2001. http://catalogue.bnf.fr/ark:/12148/cb388319544.
Texto completo da fonteLivros sobre o assunto "Applications de traitement du signal"
Jean-François, Pautex, e Schweitzer Patrick, eds. Analyse et traitement des signaux: Méthodes et applications au son et à l'image : cours et exercices corrigés. 2a ed. Paris: Dunod, 2008.
Encontre o texto completo da fonteJean, Jiang, e ScienceDirect (Online service), eds. Digital Signal Processing: Fundamentals and Applications. 2a ed. San Diego: Academic Press [Imprint], 2013.
Encontre o texto completo da fonteProakis, John G. Digital signal processing: Principles, algorithms, and applications. 3a ed. Upper Saddle River, N.J: Prentice Hall, 1996.
Encontre o texto completo da fonteAntonia, Papandreou-Suppappola, ed. Applications in time-frequency signal processing. Boca Raton: CRC Press, 2003.
Encontre o texto completo da fonteMax, Jacques. Méthodes et techniques de traitement du signal et applications aux mesures physiques. 4a ed. Paris: Masson, 1985.
Encontre o texto completo da fonteProakis, John G. Digital signal processing: Principles, algorithms, and applications. 2a ed. New York: Macmillan, 1992.
Encontre o texto completo da fonteJohn, Goutsias, Vincent Luc M, Bloomberg Dan S e International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing (5th : 2000 : Palo Alto, Calif.), eds. Mathematical morphology and its applications to image and signal processing. Boston: Kluwer Academic Publishers, 2000.
Encontre o texto completo da fonteElad, M. Sparse and redundant representations: From theory to applications in signal and image processing. New York: Springer, 2010.
Encontre o texto completo da fonteHen, Hu Yu, ed. Programmable digital signal processors: Architecture, programming, and applications. New York: Marcel Dekker, 2002.
Encontre o texto completo da fonteRichard, Klemm, ed. Applications of space-time adaptive processing. London: Institution of Electrical Engineers, 2004.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Applications de traitement du signal"
Del Moral, Pierre, e Christelle Vergé. "Traitement du signal". In Mathématiques et Applications, 347–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54616-7_12.
Texto completo da fonteMartaj, Nadia, e Mohand Mokhtari. "Traitement du signal déterministe". In Apprendre et maîtriser LabVIEW par ses applications, 785–834. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45335-9_21.
Texto completo da fonteMartaj, Dr Nadia, e Dr Mohand Mokhtari. "Traitement du signal". In MATLAB R2009, SIMULINK et STATEFLOW pour Ingénieurs, Chercheurs et Etudiants, 587–672. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11764-0_14.
Texto completo da fontePlataniotis, Konstantinos N., e Anastasios N. Venetsanopoulos. "Emerging Applications". In Digital Signal Processing, 329–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04186-4_8.
Texto completo da fonteBergounioux, Maïtine. "Applications". In Introduction au traitement mathématique des images - méthodes déterministes, 157–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46539-4_7.
Texto completo da fonteMartaj, Nadia, e Mohand Mokhtari. "Traitement numérique des signaux aléatoires". In Apprendre et maîtriser LabVIEW par ses applications, 835–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45335-9_22.
Texto completo da fonteBucy, R. S. "Applications". In Signal Processing and Digital Filtering, 117–25. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4613-8392-5_11.
Texto completo da fonteRockrohr, James Donald. "Signal Integrity". In High Speed Serdes Devices and Applications, 345–96. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79834-9_8.
Texto completo da fonteZhang, Fuxue, Wei Zhang e Guosheng Wang. "Signal Processing". In Non-driven Micromechanical Gyroscopes and Their Applications, 285–323. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54045-9_10.
Texto completo da fonteRichter, Michael M., Sheuli Paul, Veton Këpuska e Marius Silaghi. "Seismic Signal". In Signal Processing and Machine Learning with Applications, 509–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-45372-9_26.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Applications de traitement du signal"
Pocholle, J. P. "Propriétés optiques des matériaux semiconducteurs à puits quantiques et applications dans le domaine du traitement du signal". In Optoélectronique (Volume 1). Les Ulis, France: EDP Sciences, 1990. http://dx.doi.org/10.1051/sfo/1990006.
Texto completo da fonteBerger, V. "Principes physiques des lasers à semiconducteurs". In Les lasers : applications aux technologies de l'information et au traitement des matériaux. Les Ulis, France: EDP Sciences, 2002. http://dx.doi.org/10.1051/bib-sfo:2002056.
Texto completo da fonteSirtori, C. "GaAs Quantum Cascade Lasers: Fundamentals and Performance". In Les lasers : applications aux technologies de l'information et au traitement des matériaux. Les Ulis, France: EDP Sciences, 2002. http://dx.doi.org/10.1051/bib-sfo:2002057.
Texto completo da fonteLeduc, M., e E. Courtade. "Nouveaux lasers à fibre pour polariser les spins nucléaires d'un gaz d'hélium : applications médicales à l'Imagerie par Résonance Magnétique". In Les lasers : applications aux technologies de l'information et au traitement des matériaux. Les Ulis, France: EDP Sciences, 2002. http://dx.doi.org/10.1051/bib-sfo:2002058.
Texto completo da fonteBrosson, P. "Semiconductor lasers and integrated devices". In Les lasers : applications aux technologies de l'information et au traitement des matériaux. Les Ulis, France: EDP Sciences, 2002. http://dx.doi.org/10.1051/bib-sfo:2002059.
Texto completo da fonteSäuberlich, Thomas, Carsten Paproth, Jörn Helbert e Harald Hiesinger. "MERTIS: background signal removal and signal simulation". In SPIE Optical Engineering + Applications, editado por Marija Strojnik. SPIE, 2009. http://dx.doi.org/10.1117/12.829046.
Texto completo da fonte"Signal processing and applications". In 2014 24th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2014. http://dx.doi.org/10.1109/radioelek.2014.6828465.
Texto completo da fonteTan, Jo Lynn, Ahmad Zuri bin Sha'ameri e Yen Mei Chee. "Signal analysis and classification of digital communication signal using higher order time-frequency analysis techniques". In Its Applications (Isita2010). IEEE, 2010. http://dx.doi.org/10.1109/isita.2010.5649636.
Texto completo da fonteBuddha, S., H. Braun, V. Krishnan, C. Tepedelenlioglu, A. Spanias, T. Yeider e T. Takehara. "Signal processing for photovoltaic applications". In 2012 IEEE International Conference on Emerging Signal Processing Applications (ESPA 2012). IEEE, 2012. http://dx.doi.org/10.1109/espa.2012.6152459.
Texto completo da fonteKurschl, Werner, Stefan Mitsch e Johannes Schoenboeck. "Modeling Distributed Signal Processing Applications". In Implantable Body Sensor Networks Conference (BSN). IEEE, 2009. http://dx.doi.org/10.1109/bsn.2009.20.
Texto completo da fonteRelatórios de organizações sobre o assunto "Applications de traitement du signal"
Zakhor, Avideh. Representation Issues in Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, junho de 1995. http://dx.doi.org/10.21236/ada295921.
Texto completo da fonteZakhor, Avideh. Representation Issues in Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, junho de 1996. http://dx.doi.org/10.21236/ada311599.
Texto completo da fonteWarde, Cardinal. Thin-Film Optics for Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 1989. http://dx.doi.org/10.21236/ada205141.
Texto completo da fonteBiglieri, Ezio, e Michele Elia. Applications of Signal Processing in Digital Communications. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 1987. http://dx.doi.org/10.21236/ada190420.
Texto completo da fonteElia, Michele. Applications of Signal Processing in Digital Communications. Fort Belvoir, VA: Defense Technical Information Center, novembro de 1987. http://dx.doi.org/10.21236/ada190422.
Texto completo da fonteTran, Merry. Applications of Digital Signal Processing with Cardiac Pacemakers. Portland State University Library, janeiro de 2000. http://dx.doi.org/10.15760/etd.6466.
Texto completo da fonteMoore, Frank, Brendan Babb, Steven Becke, Heather Koyuk, Earl Lamson, Wedge III e Christopher. Genetic Algorithms Evolve Optimized Transforms for Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, abril de 2005. http://dx.doi.org/10.21236/ada437529.
Texto completo da fonteMay, Marvin, Alison Brown e Barry Tanju. Applications of Digital Storage Receivers for Enhanced Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, setembro de 1999. http://dx.doi.org/10.21236/ada444472.
Texto completo da fonteCasey, Stephen D. Multichannel Deconvolution with Applications to Signal and Image Processing. Fort Belvoir, VA: Defense Technical Information Center, outubro de 1995. http://dx.doi.org/10.21236/ada303433.
Texto completo da fonteKumaresan, Ramdas. New Approaches to Non-Stationary Signal Analysis and Applications. Fort Belvoir, VA: Defense Technical Information Center, dezembro de 1995. http://dx.doi.org/10.21236/ada310353.
Texto completo da fonte