Literatura académica sobre el tema "Minimum norm estimation"
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Artículos de revistas sobre el tema "Minimum norm estimation"
Stein, Michael L. "Minimum Norm Quadratic Estimation of Spatial Variograms". Journal of the American Statistical Association 82, n.º 399 (septiembre de 1987): 765–72. http://dx.doi.org/10.1080/01621459.1987.10478497.
Texto completoKim, June Sic, Joo Man Han, Kwang Suk Park y Chun Kee Chung. "Distribution-based minimum-norm estimation with multiple trials". Computers in Biology and Medicine 38, n.º 11-12 (noviembre de 2008): 1203–10. http://dx.doi.org/10.1016/j.compbiomed.2008.09.004.
Texto completoIwaki, S. y S. Ueno. "Minimum-Norm Source Estimation in MEG with Temporal Information". Journal of the Magnetics Society of Japan 22, n.º 4_2 (1998): 773–76. http://dx.doi.org/10.3379/jmsjmag.22.773.
Texto completoErmolaev, V. T. y A. B. Gershman. "Fast algorithm for minimum-norm direction-of-arrival estimation". IEEE Transactions on Signal Processing 42, n.º 9 (1994): 2389–94. http://dx.doi.org/10.1109/78.317860.
Texto completoXu, Peiliang. "The value of minimum norm estimation of geopotential fields". Geophysical Journal International 111, n.º 1 (octubre de 1992): 170–78. http://dx.doi.org/10.1111/j.1365-246x.1992.tb00563.x.
Texto completoNov, Yuval y Ori Davidov. "Minimum-norm estimation for a bi-exponential survival model". Statistics & Probability Letters 80, n.º 7-8 (abril de 2010): 648–53. http://dx.doi.org/10.1016/j.spl.2009.12.022.
Texto completoNenonen, J. T., M. S. Hämäläinen y R. J. Iimoniemi. "Minimum-norm estimation in a boundary-element torso model". Medical & Biological Engineering & Computing 32, n.º 1 (enero de 1994): 43–48. http://dx.doi.org/10.1007/bf02512477.
Texto completoWillis, A. J., R. de Mello Koch y J. Nicolson. "Minimum norm target estimation algorithm for phased array radar". Electronics Letters 28, n.º 4 (1992): 358. http://dx.doi.org/10.1049/el:19920224.
Texto completoMarshall, R. J. y K. V. Mardia. "Minimum norm quadratic estimation of components of spatial covariance". Journal of the International Association for Mathematical Geology 17, n.º 5 (julio de 1985): 517–25. http://dx.doi.org/10.1007/bf01032106.
Texto completoMardia, K. V. "Minimum norm quadratic estimation of components of spatial covariance". Mathematical Geology 18, n.º 2 (febrero de 1986): 267. http://dx.doi.org/10.1007/bf00898290.
Texto completoTesis sobre el tema "Minimum norm estimation"
Colares, Ricardo Fialho. "Aprimorando metodo para detecção de frequencias baseado na norma-minima". [s.n.], 1997. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261954.
Texto completoDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-07-22T21:47:16Z (GMT). No. of bitstreams: 1 Colares_RicardoFialho_M.pdf: 6743255 bytes, checksum: 80941de30b4a94d8e4a67978ab3eff8f (MD5) Previous issue date: 1997
Resumo: : Este trabalho aborda a aplicação da predição linear na análise de sinais discretos. Examinaremos a sua utilização no problema de estimação de freqüências de um sinal sujeito à ruído. O critério baseado nos mínimos-quadrados será utilizado para a obtenção do preditor ótimo nas formas forward, backward e forward-backward. A ferramenta de decomposição em valores singulares (DVS) será utilizada para a obtenção da solução de norma-mínima para esses preditores. Tal solução particular será detalhadamente estudada para investigar o comportamento dos zeros do polinômio associado ao filtro de erro de predição. A análise desenvolvida trouxe contribuições ao conhecimento dos métodos baseados na norma-mínima, as quais propiciaram a elaboração de uma proposta de um novo método para detecção de freqüências baseado no método FBLP Modificado. Os resultados de simulações obtidos para o método proposto mostram uma SNR de limiar inferior àquela obtida para o método FBLP Modificado. Os resultados também indicam que o novo método é capaz de estimar freqüências em SNR's inferiores àquelas obtidas mesmo para o método da Máxima Verossimilhança
Abstract: This work is concerned with the application of the linear prediction on the discrete signals analysis, aiming the frequency estimation at low signal to noise ratios. The linear prediction is optimized using least squares criterion and each of the following forms: forward, backward, forward-backward. For each one of this cases, a minimum norm solution is obtained through singular value decomposition and a polynomial is formed using the optimized coefficients. The study of the behavior of their zeroes led to new insight into the minimum norm based frequency detection methods, allowing the proposal of a new method, based on the Modified FBLP. The simulation results have shown that this new method is able to detect frequencies at lower signal to noise ratios, even when compared with the Maximum Likelihood method
Mestrado
Mestre em Engenharia Elétrica
Baumgarten, Daniel [Verfasser]. "Computational and experimental investigations on the imaging of magnetic nanoparticles based on magnetorelaxometry and minimum norm estimations for biomedical applications / Daniel Baumgarten". Aachen : Shaker, 2011. http://d-nb.info/1070152749/34.
Texto completoBerro, Soumaya. "Identification of muscle activation schemes by inverse methods applied on HD-sEMG signals". Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2708.
Texto completoFast or real-time identification of the spatiotemporal activation of Motor Units (MUs), functional units of the neuromuscular system, is fundamental in applications as prosthetic control and rehabilitation guidance but often dictates expensive computational times. Therefore, the thesis work was devoted to providing an algorithm that enables the real-time identification of MU spatial and temporal activation strategies by applying inverse methods on HD-sEMG (high-density surface electromyogram) signals from a grid placed over the Biceps Brachii (BB). For this purpose, we propose an innovative approach, that involves the use of the classical minimum norm inverse method and a 3D fitting curve interpolation, namely CFB-MNE approach. This method, based on inverse identification (minimum norm estimation) coupled to simulated motor unit action potential (MUAP) dictionary from a recent model and tested on simulations, allowed the real time localization of simulated individual motor units. A robustness analysis (anatomical, physiological, and instrumental modifications) was then performed to verify the efficiency of the proposed algorithm. Finally, the proposed algorithm was tested on MUs with realistic recruitment patterns giving promising results in both spatial and temporal identification. To conclude, a door to future perspectives was opened, according to the obtained promising results, suggesting the use of machine learning and artificial intelligence (AI) to further boost the performance of the proposed algorithm
Bertin, Karine. "Estimation asymptotiquement exacte en norme sup de fonctions multidimensionnelles". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2004. http://tel.archives-ouvertes.fr/tel-00008028.
Texto completoKahaei, Mohammad Hossein. "Performance analysis of adaptive lattice filters for FM signals and alpha-stable processes". Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36044/7/36044_Digitised_Thesis.pdf.
Texto completoDelpish, Ayesha Nneka Niu Xu-Feng. "A comparison of estimators in hierarchical linear modeling restricted maximum likelihood versus bootstrap via minimum norm quadratic unbiased estimators /". 2006. http://etd.lib.fsu.edu/theses/available/06262006-100559.
Texto completoAdvisor: Xu-Feng Niu, Florida State University, College of Arts and Sciences, Dept. of Statistics. Title and description from dissertation home page (viewed Sept. 18, 2006). Document formatted into pages; contains ix, 116 pages. Includes bibliographical references.
Libros sobre el tema "Minimum norm estimation"
Lau, Chun Kit Edwin. Minimum norm mutual coupling compensation with applications in matrix pencil direction of arrival estimation. Ottawa: National Library of Canada, 2003.
Buscar texto completoservice), SpringerLink (Online, ed. L1-Norm and L∞-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Buscar texto completoFarebrother, Richard. L1-Norm and L-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures. Springer, 2013.
Buscar texto completoCapítulos de libros sobre el tema "Minimum norm estimation"
Monticelli, A. "Least-Squares and Minimum Norm Problems". En State Estimation in Electric Power Systems, 15–37. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4999-4_2.
Texto completoNamitha, Ch, V. Uma Mahesh, M. Anusha, S. Koteswara Rao y T. Vaishnavi Chandra. "Frequency Estimation Using Minimum Norm Algorithm on Seismic Data". En Lecture Notes in Electrical Engineering, 153–63. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7329-8_16.
Texto completoCrowley, Christopher W., Richard E. Greenblatt y Ismail Khalil. "Minimum Norm Estimation of Current Distributions in Realistic Geometries". En Advances in Biomagnetism, 603–6. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0581-1_133.
Texto completoMousas, Abdou, Panagiotis G. Simos, Roozbeh Rezaie y Andrew C. Papanicolaou. "Estimation of Regional Activation Maps and Interdependencies from Minimum Norm Estimates of Magnetoencephalography (MEG) Data". En Modern Electroencephalographic Assessment Techniques, 267–89. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/7657_2014_72.
Texto completoPinto, B., A. C. Sousa y C. Quintão. "Depth-Sensitive Algorithm to Localize Sources Using Minimum Norm Estimations". En IFMBE Proceedings, 1726–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_426.
Texto completoActas de conferencias sobre el tema "Minimum norm estimation"
Cabrera, S. D., Jan-Ti Yang y Chao-Hsin Chi. "Estimation of sinusoids by adaptive minimum norm extrapolation". En Fifth ASSP Workshop on Spectrum Estimation and Modeling. IEEE, 1990. http://dx.doi.org/10.1109/spect.1990.205541.
Texto completoBerro, Soumaya, Ahmad Diab, Mohamad Hajj-Hassan, Mohamad Khalil, Hassan Amoud y Sofiane Boudaoud. "Identification of motor unit spatial activation by minimum norm estimation". En 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME). IEEE, 2019. http://dx.doi.org/10.1109/icabme47164.2019.8940273.
Texto completoXiaohui Yu, Yaowu Shi y Yan Ma. "A cross fourth order moment minimum norm method for chirp time delay estimation". En 2009 International Conference on Mechatronics and Automation (ICMA). IEEE, 2009. http://dx.doi.org/10.1109/icma.2009.5246690.
Texto completoZhang, Na, Qianqian Kang y Yong Hu. "Estimation of orientation distribution function using spherical ridgelet basis with minimum L2 norm". En 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/bmei.2011.6098483.
Texto completoBerro, Soumaya, Ahmad Diab, Mohamad Hajj-Hassan, Mohamad Khalil, Hassan Amoud y Sofiane Boudaoud. "Exploration of motor unit activation pattern using high density sEMG minimum norm estimation". En 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME). IEEE, 2020. http://dx.doi.org/10.1109/mecbme47393.2020.9265172.
Texto completoMigliore, M. D., B. Fuchs, L. le Coq y S. Rondineau. "Estimation of the 5G Massive-MIMO Antenna Beams using Drones by Minimum Trace Norm Minimization". En 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2021. http://dx.doi.org/10.23919/ursigass51995.2021.9560455.
Texto completoZhigang Su, Yingning Peng y Renbiao Wu. "Minimum norm singular capon spectral estimator". En 2007 IEEE Antennas and Propagation International Symposium. IEEE, 2007. http://dx.doi.org/10.1109/aps.2007.4395700.
Texto completoFiddy, M. A. "Quantum-limited image restoration". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.ft2.
Texto completoTu, Stephen, Ross Boczar y Benjamin Recht. "Minimax Lower Bounds for H∞-Norm Estimation". En 2019 American Control Conference (ACC). IEEE, 2019. http://dx.doi.org/10.23919/acc.2019.8814311.
Texto completoBAUMGARTEN, DANIEL y JENS HAUEISEN. "IMAGING OF MAGNETIC NANOPARTICLES BASED ON MAGNETORELAXATION AND MINIMUM NORM ESTIMATIONS". En Proceedings of the First International Workshop on Magnetic Particle Imaging. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814324687_0027.
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