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Particle filter

Known as: Particle filters, Sequential importance resampling, Sequential Monte Carlo methods 
Particle filters or Sequential Monte Carlo (SMC) methods are a set of genetic-type particle Monte Carlo methodologies to solve the filtering problem… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
This study investigates the phenol degradation by pulsed high-voltage discharge (PHVD). The effect of solution pH, temperature… 
Review
2013
Review
2013
Image segmentation, i.e., identification of homogeneous regions in the image, has been the subject of considerable research… 
2006
2006
To digitize the ultra-wideband (UWB) signal at its Nyquist rate, a frequency channelized receiver for UWB radio based on hybrid… 
2002
2002
As a result of their unique heat recovery properties,Humidified Gas Turbine (HGT) cycles have the potential todeliver resource… 
2000
2000
For a uniformly magnetized rectangular particle with dimensions in the ratio 5 : 1 : 0.1, the coercive and switching fields in… 
1998
1998
Target tracking by model independent visual servo control is achieved by augmenting quasi-Newton trust region control with target… 
1993
1993
Approximate, asymptotic methods are used to analyze the edge response of a filter. This technique is tractable for the case of… 
1987
1987
A simple method for the design of highly selective adaptive 3-D recursive cone filters is described. The cone-shaped passband is… 
Review
1982
Review
1982
Since more advanced transmultiplexer concepts have to compete with elementary alternative solutions derived from simple back-to…