Multichannel blind deconvolution using the stochastic calculus for the estimation of the central arterial pressure.
Abutaleb, Ahmed S., Waheed, M.El-Sayed, Elhamy, Nermeen M. (2010)
Mathematical Problems in Engineering
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Displaying similar documents to “Blind deconvolution of the aortic pressure waveform using the Malliavin calculus.”
Multichannel blind deconvolution using the stochastic calculus for the estimation of the central arterial pressure.
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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The performance analysis of the adaptive two-stage DFB narrowband interference suppression filter in DSSS receiver
Miroslav L. Dukić, Zoran S. Dobrosavljević (1997)
Kybernetika
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Guaranteed performance robust Kalman filter for continuous-time Markovian jump nonlinear system with uncertain noise.
Zhu, Jin, Park, Junhong, Lee, Kwan-Soo, Spiryagin, Maksym (2008)
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Vepa, Ranjan (2010)
Mathematical Problems in Engineering
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Polynomial matrix solution to the discrete fixed-LAG smoothing problem
Mike J. Grimble (1991)
Kybernetika
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Design of Median-type Filters with an Impulse Noise Detector Using Decision Tree and Particle Swarm Optimization for Image Restoration
Bae-Muu Chang, Hung-Hsu Tsai, Xuan-Ping Lin, Pao-Ta Yu (2010)
Computer Science and Information Systems
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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...
Application of the adaptive center-weighted vector median framework for the enhancement of cDNA microarray images
Rastislav Lukac, Bogdan Smołka (2003)
International Journal of Applied Mathematics and Computer Science
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In this paper a novel method of noise reduction in color images is presented. The new technique is capable of attenuating both impulsive and Gaussian noise, while preserving and even enhancing the sharpness of the image edges. Extensive simulations reveal that the new method outperforms significantly the standard techniques widely used in multivariate signal processing. In this work we apply the new noise reduction method for the enhancement of the images of the so called gene chips....