Auswahl der wissenschaftlichen Literatur zum Thema „Applications de traitement du signal“
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Zeitschriftenartikel zum Thema "Applications de traitement du signal"
-Charbit, Maurice. „Du traitement du signal aux applications grand public“. Revue de l'Electricité et de l'Electronique -, Nr. 06 (1997): 16. http://dx.doi.org/10.3845/ree.1997.073.
Der volle Inhalt der QuelleTachoire, Henri, Jean-Luc Macqueron und Vincent Torra. „Traitement du signal en microcalorimetrie: applications en cinetique et en thermodynamique“. Thermochimica Acta 105 (September 1986): 333–67. http://dx.doi.org/10.1016/0040-6031(86)85249-2.
Der volle Inhalt der QuelleGharbi, Mohamed, und 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.
Der volle Inhalt der QuelleAdeline, 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, Nr. 202 (16.04.2014): 79–92. http://dx.doi.org/10.52638/rfpt.2013.53.
Der volle Inhalt der QuelleCohen, David, Sylvie Viaux, Catherine Saint-georges, Chloé Leclère, Mohamed Chétouani und 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, Nr. 6 (Juni 2016): 1203–20. http://dx.doi.org/10.1016/s0001-4079(19)30639-9.
Der volle Inhalt der QuelleBaray, J. „Optimisation de la localisation commerciale : une application du traitement du signal et du modele p-median“. Recherche et Applications en Marketing 18, Nr. 3 (01.09.2003): 31–44. http://dx.doi.org/10.1177/076737010301800303.
Der volle Inhalt der QuelleChouaf, Seloua, und 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, Nr. 204 (08.04.2014): 57–62. http://dx.doi.org/10.52638/rfpt.2013.22.
Der volle Inhalt der QuelleAntoine, Jean-Pierre. „L'analyse en ondelettes“. Revue des questions scientifiques 189, Nr. 1-2 (01.01.2018): 5–49. http://dx.doi.org/10.14428/qs.v189i1-2.68713.
Der volle Inhalt der QuelleMicoulaud Franchi, J. A. „Le neurofeedback comme outil de compréhension et de régulation de l’attention“. European Psychiatry 28, S2 (November 2013): 13. http://dx.doi.org/10.1016/j.eurpsy.2013.09.030.
Der volle Inhalt der QuelleDejoux, 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, Nr. 197 (22.04.2014): 17–30. http://dx.doi.org/10.52638/rfpt.2012.79.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleHamie, Ali. „Traitement statistique du signal : applications en biologie et économie“. Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAS012/document.
Der volle Inhalt der QuelleIn 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.
Der volle Inhalt der QuelleThis 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.
Der volle Inhalt der QuelleNyamsi, 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.
Der volle Inhalt der QuellePapakonstantinou, Konstantinos. „Les applications du traitement du signal statistique à la localisation mobile“. Paris, Télécom ParisTech, 2010. http://www.theses.fr/2010ENST0041.
Der volle Inhalt der QuelleIn 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.
Der volle Inhalt der QuelleBenjelloun, Touimi Abdellatif. „Traitement du signal audio dans le domaine code : techniques et applications“. Paris, ENST, 2001. http://www.theses.fr/2001ENST0018.
Der volle Inhalt der QuelleGRIMAL, BRUNO. „Synthese d'architectures autotestables dediees a des applications de traitement du signal“. Rennes 1, 1994. http://www.theses.fr/1994REN10173.
Der volle Inhalt der QuelleBenjelloun, 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.
Der volle Inhalt der QuelleBücher zum Thema "Applications de traitement du signal"
Jean-François, Pautex, und Schweitzer Patrick, Hrsg. Analyse et traitement des signaux: Méthodes et applications au son et à l'image : cours et exercices corrigés. 2. Aufl. Paris: Dunod, 2008.
Den vollen Inhalt der Quelle findenJean, Jiang, und ScienceDirect (Online service), Hrsg. Digital Signal Processing: Fundamentals and Applications. 2. Aufl. San Diego: Academic Press [Imprint], 2013.
Den vollen Inhalt der Quelle findenProakis, John G. Digital signal processing: Principles, algorithms, and applications. 3. Aufl. Upper Saddle River, N.J: Prentice Hall, 1996.
Den vollen Inhalt der Quelle findenAntonia, Papandreou-Suppappola, Hrsg. Applications in time-frequency signal processing. Boca Raton: CRC Press, 2003.
Den vollen Inhalt der Quelle findenMax, Jacques. Méthodes et techniques de traitement du signal et applications aux mesures physiques. 4. Aufl. Paris: Masson, 1985.
Den vollen Inhalt der Quelle findenProakis, John G. Digital signal processing: Principles, algorithms, and applications. 2. Aufl. New York: Macmillan, 1992.
Den vollen Inhalt der Quelle findenJohn, Goutsias, Vincent Luc M, Bloomberg Dan S und International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing (5th : 2000 : Palo Alto, Calif.), Hrsg. Mathematical morphology and its applications to image and signal processing. Boston: Kluwer Academic Publishers, 2000.
Den vollen Inhalt der Quelle findenElad, M. Sparse and redundant representations: From theory to applications in signal and image processing. New York: Springer, 2010.
Den vollen Inhalt der Quelle findenHen, Hu Yu, Hrsg. Programmable digital signal processors: Architecture, programming, and applications. New York: Marcel Dekker, 2002.
Den vollen Inhalt der Quelle findenRichard, Klemm, Hrsg. Applications of space-time adaptive processing. London: Institution of Electrical Engineers, 2004.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Applications de traitement du signal"
Del Moral, Pierre, und 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.
Der volle Inhalt der QuelleMartaj, Nadia, und 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.
Der volle Inhalt der QuelleMartaj, Dr Nadia, und 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.
Der volle Inhalt der QuellePlataniotis, Konstantinos N., und 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.
Der volle Inhalt der QuelleBergounioux, 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.
Der volle Inhalt der QuelleMartaj, Nadia, und 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.
Der volle Inhalt der QuelleBucy, 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.
Der volle Inhalt der QuelleRockrohr, 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.
Der volle Inhalt der QuelleZhang, Fuxue, Wei Zhang und 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.
Der volle Inhalt der QuelleRichter, Michael M., Sheuli Paul, Veton Këpuska und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "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.
Der volle Inhalt der QuelleBerger, 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.
Der volle Inhalt der QuelleSirtori, 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.
Der volle Inhalt der QuelleLeduc, M., und 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.
Der volle Inhalt der QuelleBrosson, 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.
Der volle Inhalt der QuelleSäuberlich, Thomas, Carsten Paproth, Jörn Helbert und Harald Hiesinger. „MERTIS: background signal removal and signal simulation“. In SPIE Optical Engineering + Applications, herausgegeben von Marija Strojnik. SPIE, 2009. http://dx.doi.org/10.1117/12.829046.
Der volle Inhalt der Quelle„Signal processing and applications“. In 2014 24th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2014. http://dx.doi.org/10.1109/radioelek.2014.6828465.
Der volle Inhalt der QuelleTan, Jo Lynn, Ahmad Zuri bin Sha'ameri und 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.
Der volle Inhalt der QuelleBuddha, S., H. Braun, V. Krishnan, C. Tepedelenlioglu, A. Spanias, T. Yeider und 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.
Der volle Inhalt der QuelleKurschl, Werner, Stefan Mitsch und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Applications de traitement du signal"
Zakhor, Avideh. Representation Issues in Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, Juni 1995. http://dx.doi.org/10.21236/ada295921.
Der volle Inhalt der QuelleZakhor, Avideh. Representation Issues in Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, Juni 1996. http://dx.doi.org/10.21236/ada311599.
Der volle Inhalt der QuelleWarde, Cardinal. Thin-Film Optics for Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, Januar 1989. http://dx.doi.org/10.21236/ada205141.
Der volle Inhalt der QuelleBiglieri, Ezio, und Michele Elia. Applications of Signal Processing in Digital Communications. Fort Belvoir, VA: Defense Technical Information Center, Januar 1987. http://dx.doi.org/10.21236/ada190420.
Der volle Inhalt der QuelleElia, Michele. Applications of Signal Processing in Digital Communications. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada190422.
Der volle Inhalt der QuelleTran, Merry. Applications of Digital Signal Processing with Cardiac Pacemakers. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.6466.
Der volle Inhalt der QuelleMoore, Frank, Brendan Babb, Steven Becke, Heather Koyuk, Earl Lamson, Wedge III und Christopher. Genetic Algorithms Evolve Optimized Transforms for Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada437529.
Der volle Inhalt der QuelleMay, Marvin, Alison Brown und Barry Tanju. Applications of Digital Storage Receivers for Enhanced Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada444472.
Der volle Inhalt der QuelleCasey, Stephen D. Multichannel Deconvolution with Applications to Signal and Image Processing. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1995. http://dx.doi.org/10.21236/ada303433.
Der volle Inhalt der QuelleKumaresan, Ramdas. New Approaches to Non-Stationary Signal Analysis and Applications. Fort Belvoir, VA: Defense Technical Information Center, Dezember 1995. http://dx.doi.org/10.21236/ada310353.
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