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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Displaying similar documents to “The smoothness criterion as a trend diagnostic.”
Whitening of background brain activity via parametric modeling.
Multisensor estimation: New distributed algorithms.
Plataniotis, K.N., Lainiotis, D.G. (1996)
Mathematical Problems in Engineering
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The analysis of seasonality in economic statistics: a survey of recent developments.
Christophe Planas (1998)
Qüestiió
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This article describes the EUROSTAT activities in the field of seasonal adjustment and trend extraction in economic time series. They follow a working program which has been set up during 1995. The attention focuses on X12-REGARIMA (X12 in short), a last update of the X11-family from the Bureau of the Census (see Findley and al., 1996), and on SEATS-TRAMO (see Gomez and Maravall, 1996) which implements the ARIMA-model-based approach to decompose time series. Three main directions are...
On improving sensitivity of the Kalman filter
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.
Polynomial matrix solution to the discrete fixed-LAG smoothing problem
Mike J. Grimble (1991)
Kybernetika
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Approximation approach for nonlinear filtering problem with time dependent noises. I. Conditionally optimal filter in the minimum mean square sense
S. Hoang, Nguyen Thuc Loan, Rémy Baraille, Olivier Talagrand (1997)
Kybernetika
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A discussion related to orbit determination using nonlinear sigma point Kalman filter.
Pardal, Paula Cristiane Pinto Mesquita, Kuga, Helio Koiti, Vilhena de Moraes, Rodolpho (2009)
Mathematical Problems in Engineering
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Nonlinear image processing and filtering: A unified approach based on vertically weighted regression
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...