Whitening of background brain activity via parametric modeling.
Kamel, Nidal, Samraj, Andrews, Mousavi, Arash (2007)
Discrete Dynamics in Nature and Society
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Kamel, Nidal, Samraj, Andrews, Mousavi, Arash (2007)
Discrete Dynamics in Nature and Society
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S. Hoang, Rémy Baraille, Olivier Talagrand, Nguyen Thuc Loan, P. De Mey (1997)
Kybernetika
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Petr Franěk (2002)
Kybernetika
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The impact of additive outliers on a performance of the Kalman filter is discussed and less outlier-sensitive modification of the Kalman filter is proposed. The improved filter is then used to obtain an improved smoothing algorithm and an improved state-space model parameters estimation.
Pardal, Paula Cristiane Pinto Mesquita, Kuga, Helio Koiti, Vilhena de Moraes, Rodolpho (2009)
Mathematical Problems in Engineering
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Bae-Muu Chang, Hung-Hsu Tsai, Xuan-Ping Lin, Pao-Ta Yu (2010)
Computer Science and Information Systems
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Ewaryst Rafajłowicz, Mirosław Pawlak, Angsar Steland (2008)
International Journal of Applied Mathematics and Computer Science
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A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge-preserving properties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates utilizing the concept of vertical weighting. The method unifies a number of known nonlinear image filtering and denoising algorithms such as bilateral and steering kernel filters. It is shown that vertically weighted filters can be realized by...