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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… 
2006
2006
To digitize the ultra-wideband (UWB) signal at its Nyquist rate, a frequency channelized receiver for UWB radio based on hybrid… 
Review
2005
Review
2005
The Algorithm and applications related to particle filter are surveyed. Aiming at the nonlinear/non-Gaussian filter problem, the… 
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… 
1993
1993
Approximate, asymptotic methods are used to analyze the edge response of a filter. This technique is tractable for the case of… 
1992
1992
This paper develops a set of conditions which allow bandwidth efficient transmultiplexers to be synthesized. The synthesis… 
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…