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Particle filter
Known as:
Particle filters
, Sequential importance resampling
, Sequential Monte Carlo methods
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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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Related topics
Related topics
49 relations
Augmented reality
Auxiliary particle filter
Bioinformatics
Computational physics
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Broader (4)
Computational statistics
Control theory
Estimation theory
Robot control
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Improvement of Maximum Variance Weight Partitioning Particle Filter in Urban Computing and Intelligence
Li Huang
,
Qiaobo Fu
,
Gongfa Li
,
Bowen Luo
,
Disi Chen
,
Hui Yu
IEEE Access
2019
Corpus ID: 201066424
At present, urban computing and intelligence has become an important topic in the research field of artificial intelligence. On…
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Highly Cited
2010
Highly Cited
2010
A Kalman/Particle Filter-Based Position and Orientation Estimation Method Using a Position Sensor/Inertial Measurement Unit Hybrid System
S. Won
,
W. Melek
,
F. Golnaraghi
IEEE transactions on industrial electronics…
2010
Corpus ID: 30957555
This paper presents a novel methodology that estimates position and orientation using one position sensor and one inertial…
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Highly Cited
2005
Highly Cited
2005
FRIP: a region-based image retrieval tool using automatic image segmentation and stepwise Boolean AND matching
ByoungChul Ko
,
H. Byun
IEEE transactions on multimedia
2005
Corpus ID: 16163516
We present our region-based image retrieval tool, finding region in the picture (FRIP), that is able to accommodate, to the…
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Highly Cited
2005
Highly Cited
2005
Helicopter rotor blade frequency evolution with damage growth and signal processing
N. Roy
,
R. Ganguli
2005
Corpus ID: 18297576
Highly Cited
2000
Highly Cited
2000
Compact microring notch filters
P. Absil
,
J. Hryniewicz
,
Brent E. Little
,
R. A. Wilson
,
L. Joneckis
,
P. Ho
IEEE Photonics Technology Letters
2000
Corpus ID: 42172439
Microresonator filters reported so far have been all-pole-type filters. We report two experimental realizations of zero-type…
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Review
2000
Review
2000
Optimization of point target tracking filters
C. E. Caefer
,
J. Silverman
,
J. Mooney
IEEE Transactions on Aerospace and Electronic…
2000
Corpus ID: 31711020
We review a powerful temporal-based algorithm, a triple temporal filter (TTF) with six input parameters, for detecting and…
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Highly Cited
1998
Highly Cited
1998
Conditions for stationary pulse propagation in the strong dispersion management regime
T. Lakoba
,
Jianke Yang
,
D. Kaup
,
B. Malomed
Nonlinear Guided Waves and Their Applications
1998
Corpus ID: 3784188
Highly Cited
1986
Highly Cited
1986
Adaptive filters with individual adaptation of parameters
W. Mikhael
,
F. Wu
,
L. Kazovsky
,
G. Kang
,
L. Fransen
1986
Corpus ID: 123235023
Conventional gradient-type adaptive filters use the fixed convergence factor \mu which is normally chosen to be the same for all…
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Highly Cited
1983
Highly Cited
1983
Mechanical filters in electronics
R. Johnson
1983
Corpus ID: 106515299
Highly Cited
1978
Highly Cited
1978
MOS switched capacitor ladder filters
D. Allstot
,
R. Brodersen
,
P. Gray
IEEE Journal of Solid-State Circuits
1978
Corpus ID: 16839978
A new technique for designing precision, fully integrated, high-order filters using standard MOS technology is described…
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