Literatura académica sobre el tema "Signal processing- models"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Signal processing- models".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Signal processing- models"
Culver, R. Lee y H. John Camin. "Sonar signal processing using probabilistic signal and ocean environmental models". Journal of the Acoustical Society of America 124, n.º 6 (diciembre de 2008): 3619–31. http://dx.doi.org/10.1121/1.3006379.
Texto completoPagès-Zamora, Alba y Miguel A. Lagunas. "Fourier models for non-linear signal processing". Signal Processing 76, n.º 1 (julio de 1999): 1–16. http://dx.doi.org/10.1016/s0165-1684(98)00243-6.
Texto completoSottek, Roland y Klaus Genuit. "Models of signal processing in human hearing". AEU - International Journal of Electronics and Communications 59, n.º 3 (junio de 2005): 157–65. http://dx.doi.org/10.1016/j.aeue.2005.03.016.
Texto completoLiu, Keying, Rui Li y Fasong Wang. "Blind Signal Processing models and methods for Foetal Electrocardiogram signals extraction". International Journal of Biomedical Engineering and Technology 7, n.º 3 (2011): 225. http://dx.doi.org/10.1504/ijbet.2011.043296.
Texto completoRogozinsky, G., M. Chesnokov y A. Kutlyiarova. "Some New Mathematical Models of Synthesized Sound Signals". Proceedings of Telecommunication Universities 8, n.º 2 (30 de junio de 2022): 76–81. http://dx.doi.org/10.31854/1813-324x-2022-8-2-76-81.
Texto completoWillsky, A. S. "Multiresolution Markov models for signal and image processing". Proceedings of the IEEE 90, n.º 8 (agosto de 2002): 1396–458. http://dx.doi.org/10.1109/jproc.2002.800717.
Texto completoSchooley, Larry C. "Charge-coupled device signal processing models and comparisons". Journal of Electronic Imaging 2, n.º 2 (1 de abril de 1993): 100. http://dx.doi.org/10.1117/12.138355.
Texto completoNakajima, Jouchi y Mike West. "Dynamic network signal processing using latent threshold models". Digital Signal Processing 47 (diciembre de 2015): 5–16. http://dx.doi.org/10.1016/j.dsp.2015.04.008.
Texto completoArik, Sercan O., Joseph M. Kahn y Keang-Po Ho. "MIMO Signal Processing for Mode-Division Multiplexing: An overview of channel models and signal processing architectures". IEEE Signal Processing Magazine 31, n.º 2 (marzo de 2014): 25–34. http://dx.doi.org/10.1109/msp.2013.2290804.
Texto completoFisher, B. y N. Bershad. "ALE behavior for two sinusoidal signal models". IEEE Transactions on Acoustics, Speech, and Signal Processing 33, n.º 3 (junio de 1985): 658–65. http://dx.doi.org/10.1109/tassp.1985.1164590.
Texto completoTesis sobre el tema "Signal processing- models"
Xu, Luzhou. "Growth curve models in signal processing applications". [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015020.
Texto completoLynch, Michael Richard. "Adaptive techniques in signal processing and connectionist models". Thesis, University of Cambridge, 1990. https://www.repository.cam.ac.uk/handle/1810/244884.
Texto completoRao, Tandhoni. "Noncausal methods and models for image". Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/13344.
Texto completoBengtsson, Mats. "Antenna array signal processing for high rank data models". Doctoral thesis, KTH, Signaler, sensorer och system, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2903.
Texto completoNoland, Katy C. "Computational tonality estimation : signal processing and hidden Markov models". Thesis, Queen Mary, University of London, 2009. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8492.
Texto completoSaid, Maya Rida 1976. "Signal processing in biological cells : proteins, networks, and models". Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/30165.
Texto completoIncludes bibliographical references (p. 202-210).
This thesis introduces systematic engineering principles to model, at different levels of abstraction the information processing in biological cells in order to understand the algorithms implemented by the signaling pathways that perform the processing. An example of how to emulate one of these algorithms in other signal processing contexts is also presented. At a high modeling level, the focus is on the network topology rather than the dynamical properties of the components of the signaling network. In this regime, we examine and analyze the distribution and properties of the network graph. Specifically, we present a global network investigation of the genotype/phenotype data-set recently developed for the yeast Saccharomyces cerevisiae from exposure to DNA damaging agents, enabling explicit study of how protein-protein interaction network characteristics may be associated with phenotypic functional effects. The properties of several functional yeast networks are also compared and a simple method to combine gene expression data with network information is proposed to better predict pathophysiological behavior. At a low level of modeling, the thesis introduces a new framework for modeling cellular signal processing based on interacting Markov chains. This framework provides a unified way to simultaneously capture the stochasticity of signaling networks in individual cells while computing a deterministic solution which provides average behavior. The use of this framework is demonstrated on two classical signaling networks: the mitogen activated protein kinase cascade and the bacterial chemotaxis pathway. The prospects of using cell biology as a metaphor for signal processing are also considered in a preliminary way by presenting a surface mapping algorithm based on bacterial chemotaxis.
by Maya Rida Said.
Sc.D.
Marmin, Arthur. "Rational models optimized exactly for solving signal processing problems". Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG017.
Texto completoA wide class of nonconvex optimization problem is represented by rational optimization problems. The latter appear naturally in many areas such as signal processing or chemical engineering. However, finding the global optima of such problems is intricate. A recent approach called Lasserre's hierarchy provides a sequence of convex problems that has the theoretical guarantee to converge to the global optima. Nevertheless, this approach is computationally challenging due to the high dimensions of the convex relaxations. In this thesis, we tackle this challenge for various signal processing problems.First, we formulate the reconstruction of sparse signals as a rational optimization problem. We show that the latter has a structure that we wan exploit in order to reduce the complexity of the associated relaxations. We thus solve several practical problems such as the reconstruction of chromatography signals. We also extend our method to the reconstruction of various types of signal corrupted by different noise models.In a second part, we study the convex relaxations generated by our problems which take the form of high-dimensional semi-definite programming problems. We consider several algorithms mainly based on proximal operators to solve those high-dimensional problems efficiently.The last part of this thesis is dedicated to the link between polynomial optimization and symmetric tensor decomposition. Indeed, they both can be seen as an instance of the moment problem. We thereby propose a detection method as well as a decomposition algorithm for symmetric tensors based on the tools used in polynomial optimization. In parallel, we suggest a robust extraction method for polynomial optimization based on tensor decomposition algorithms. Those methods are illustrated on signal processing problems
Archer, Cynthia. "A framework for representing non-stationary data with mixtures of linear models /". Full text open access at:, 2002. http://content.ohsu.edu/u?/etd,585.
Texto completoLiu, Li. "Ground vehicle acoustic signal processing based on biological hearing models". College Park, Md. : University of Maryland, 1999. http://techreports.isr.umd.edu/reports/1999/MS%5F99-6.pdf.
Texto completoThesis research directed by Institute for Systems Research. "M.S. 99-6." Includes bibliographical references (leaves 75-78). Available also online as a PDF file via the World Wide Web.
Boman, Katarina. "Low-angle estimation : Models, methods and bounds". Licentiate thesis, Uppsala universitet, Avdelningen för systemteknik, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-85998.
Texto completoLibros sobre el tema "Signal processing- models"
Biomedical signal processing. San Diego: Academic Press, 1994.
Buscar texto completoBiomedical signal processing and signal modeling. New York: Wiley, 2001.
Buscar texto completoBruce, Eugene N. Biomedical signal processing and signal modeling. New York: Wiley, 2001.
Buscar texto completoDarolles, Serge, Patrick Duvaut y Emmanuelle Jay. Multi-Factor Models and Signal Processing Techniques. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118577387.
Texto completoAdaptive signal models: Theory, algorithms, and audio applications. Boston: Kluwer Academic Publishers, 1998.
Buscar texto completoStatistical digital signal processing and modeling. New York: John Wiley & Sons, 1996.
Buscar texto completoA, Gardner William, ed. Cyclostationarity in communications and signal processing. New York: IEEE Press, 1994.
Buscar texto completoSignals and systems in biomedical engineering: Signal processing and physiological systems modeling. New York: Kluwer Academic/Plenum Publishers, 2000.
Buscar texto completoCerutti, Sergio y Carlo Marchesi. Advanced methods of biomedical signal processing. Hoboken, N.J: Wiley, 2011.
Buscar texto completoNaik, Ganesh R. Applications, challenges, and advancements in electromyography signal processing. Hershey PA: Medical Information Science Reference, 2014.
Buscar texto completoCapítulos de libros sobre el tema "Signal processing- models"
Au, Whitlow W. L. "Signal Processing and Signal Processing Models". En The Sonar of Dolphins, 216–41. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-4356-4_10.
Texto completoNandi, Swagata y Debasis Kundu. "Related Models". En Statistical Signal Processing, 239–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6280-8_11.
Texto completoNandi, Swagata y Debasis Kundu. "Multidimensional Models". En Statistical Signal Processing, 163–77. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6280-8_8.
Texto completoKundu, Debasis y Swagata Nandi. "Multidimensional Models". En Statistical Signal Processing, 101–12. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0628-6_7.
Texto completoKundu, Debasis y Swagata Nandi. "Related Models". En Statistical Signal Processing, 113–27. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0628-6_8.
Texto completoDau, Torsten. "Auditory Processing Models". En Handbook of Signal Processing in Acoustics, 175–96. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-30441-0_12.
Texto completoColburn, H. Steven, Yi Zhou y Vasant Dasika. "Inhibition in models of coincidence detection". En Auditory Signal Processing, 354–60. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/0-387-27045-0_44.
Texto completoNandi, Swagata y Debasis Kundu. "Real Data Example Using Sinusoidal-Like Models". En Statistical Signal Processing, 143–61. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6280-8_7.
Texto completoButler, John L. y Charles H. Sherman. "Transducer Models". En Modern Acoustics and Signal Processing, 91–152. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39044-4_3.
Texto completoChaigne, Antoine y Jean Kergomard. "Continuous Models". En Modern Acoustics and Signal Processing, 3–75. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3679-3_1.
Texto completoActas de conferencias sobre el tema "Signal processing- models"
Barnes, C. W., E. J. Pisa y O. Ishrak. "Signal Processing Models In Medical Ultrasound". En Pattern Recognition and Acoustical Imaging, editado por Leonard A. Ferrari. SPIE, 1987. http://dx.doi.org/10.1117/12.940242.
Texto completoModi, Kirtan N., Eul-Shik Hong y Bhaskar Bhattacharya. "Interactive models for teaching digital signal processing". En 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop. IEEE, 2009. http://dx.doi.org/10.1109/dsp.2009.4785928.
Texto completoNihtila, Markku. "Discrete Signal Processing with Flat System Models". En 2007 IEEE International Conference on Signal Processing and Communications. IEEE, 2007. http://dx.doi.org/10.1109/icspc.2007.4728399.
Texto completoOtomanski, Przemyslaw. "Signal processing models of the laser diode". En Laser Technology V, editado por Wieslaw L. Wolinski y Michal Malinowski. SPIE, 1997. http://dx.doi.org/10.1117/12.280515.
Texto completoBestugin, A. R., A. F. Kryachko, S. S. Poddubniy y V. N. Kayatkin. "Radiated signal models". En 2018 Systems of Signals Generating and Processing in the Field of on Board Communications. IEEE, 2018. http://dx.doi.org/10.1109/sosg.2018.8350572.
Texto completoThang, Nguyen Duc, Chen Lihui y Chan Chee Keong. "An outlier-aware data clustering algorithm in mixture models". En Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397571.
Texto completoWang, Chensheng, Joris S. M. Vergeest, Pieter J. Stappers y Willem F. Bronsvoort. "Freeform Feature Retrieval by Signal Processing". En ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57061.
Texto completoSanthanam, Balu. "Session MA8b1: Models for signal and image processing". En 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers. IEEE, 2009. http://dx.doi.org/10.1109/acssc.2009.5470085.
Texto completoBayati, Mohsen. "Session MA3b: Graphical models in signal processing I". En 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6189950.
Texto completoIhler, Alex. "Session MP3a: Graphical models in signal processing II". En 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190026.
Texto completoInformes sobre el tema "Signal processing- models"
Baraniuk, Richard G. Multiscale Statistical Models for Signal and Image Processing. Fort Belvoir, VA: Defense Technical Information Center, junio de 2004. http://dx.doi.org/10.21236/ada425177.
Texto completoShubitidze, Fridon. A Complex Approach to UXO Discrimination: Combining Advanced EMI Forward Models and Statistical Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, enero de 2012. http://dx.doi.org/10.21236/ada578937.
Texto completoBurnett, G. C. Damage Detection and Identification of Finite Element Models Using State-Space Based Signal Processing a Summation of Work Completed at the Lawrence Livermore National Laboratory February 1999 to April 2000. Office of Scientific and Technical Information (OSTI), abril de 2000. http://dx.doi.org/10.2172/793960.
Texto completoChambers, D. Signal Processing Model for Radiation Transport. Office of Scientific and Technical Information (OSTI), julio de 2008. http://dx.doi.org/10.2172/945821.
Texto completoBai, Z. D., P. R. Krishnaiah y L. C. Zhao. Signal Processing Using Model Selection Methods,. Fort Belvoir, VA: Defense Technical Information Center, enero de 1986. http://dx.doi.org/10.21236/ada167318.
Texto completoRodgers, A., D. Harris y M. Pasyanos. A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring. Office of Scientific and Technical Information (OSTI), marzo de 2007. http://dx.doi.org/10.2172/908120.
Texto completoEdelblute, David J. Array Processing That Uses a Normal-Mode Model for Signal Representation. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1988. http://dx.doi.org/10.21236/ada198031.
Texto completoLing, Hao. Application of Model-Based Signal Processing Methods to Computational Electromagnetics Simulators. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2000. http://dx.doi.org/10.21236/ada389286.
Texto completoCandy, J. V., B. R. Illingworth, K. W. Craft y J. E. Case. Real-time Signal Processing for Sounding Rocket Modal Frequency Estimation. Office of Scientific and Technical Information (OSTI), marzo de 2019. http://dx.doi.org/10.2172/1548320.
Texto completoCandy, J., K. Fisher y B. Fix. Model-Based Ultrasonic Signal Processing for the Nondestructive Evaluation of Additive Manufacturing Components. Office of Scientific and Technical Information (OSTI), enero de 2021. http://dx.doi.org/10.2172/1762858.
Texto completo