Results 261 to 270 of about 230,512 (314)
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On a Non-linear Electronic Circuit Filtering
Circuits, Systems, and Signal Processing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Balaji G. Gawalwad, Shambhu Nath Sharma
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Stochastic Analysis and Applications, 2008
Using a measure change related to Bayes' rule recursive estimates are obtained for an approximate conditional density where a state process has deterministic dynamics and it is observed in additive Gaussian noise.
Elliott, R., Leung, H., Deng, J.
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Using a measure change related to Bayes' rule recursive estimates are obtained for an approximate conditional density where a state process has deterministic dynamics and it is observed in additive Gaussian noise.
Elliott, R., Leung, H., Deng, J.
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A comparison of three non-linear filters
Automatica, 1969zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richard P. Wishner +2 more
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Linear and non-linear filtering in stereopsis
Vision Research, 1994To better understand the spatial filtering operations underlying stereopsis, and their relationship to those underlying monocular localization of the same stimuli, we examined the dependence of stereoacuity on carrier and envelope size of Gabor patches.
R F, Hess, L M, Wilcox
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Energy preserving non-linear filters
Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH '94, 1994Monte Carlo techniques for image synthesis are simple and powerful, but they are prone to noise from inadequate sampling. This paper describes a class of non-linear filters that remove sampling noise in synthetic images without removing salient features.
Holly E. Rushmeier, Gregory J. Ward
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A Class Of Non-linear Filters For Periodic Signals
1993 IEEE International Symposium on Circuits and Systems, 2002The problems of parameter estimation for noisy signals having multiple sinusoidal components, some or all of which may be harmonically related are addressed. A nonlinear observer approach is used to derive a filter possessing local stability. The results of simulations are presented to illustrate that the authors' method can offer improved performance ...
Garry A. Einicke, Langford B. White
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Polynomial Filtering for Linear Discrete Time Non-Gaussian Systems
In this work we propose a new filtering approach for linear discrete time non-Gaussian systems that generalizes a previous result concerning quadratic filtering [A. De Santis, A. Germani, and M. Raimondi, IEEE Trans. Automat. Control, 40 (1995) pp.
Alfredo Germani
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Statistics & Probability Letters, 2003
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