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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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2019
2019
At present, urban computing and intelligence has become an important topic in the research field of artificial intelligence. On… 
Highly Cited
2010
Highly Cited
2010
This paper presents a novel methodology that estimates position and orientation using one position sensor and one inertial… 
Highly Cited
2005
Highly Cited
2005
We present our region-based image retrieval tool, finding region in the picture (FRIP), that is able to accommodate, to the… 
Highly Cited
2000
Highly Cited
2000
Microresonator filters reported so far have been all-pole-type filters. We report two experimental realizations of zero-type… 
Review
2000
Review
2000
We review a powerful temporal-based algorithm, a triple temporal filter (TTF) with six input parameters, for detecting and… 
Highly Cited
1998
Highly Cited
1998
Highly Cited
1986
Highly Cited
1986
Conventional gradient-type adaptive filters use the fixed convergence factor \mu which is normally chosen to be the same for all… 
Highly Cited
1983
Highly Cited
1983
Highly Cited
1978
Highly Cited
1978
A new technique for designing precision, fully integrated, high-order filters using standard MOS technology is described…