DocumentCode
328116
Title
Why multiresolutional hierarchies reduce computational complexity of stochastic systems for estimation and control
Author
Khazen, E. ; Meystel, A.
Author_Institution
Drexel Univ., Philadelphia, PA, USA
fYear
1998
fDate
14-17 Sep 1998
Firstpage
126
Lastpage
129
Abstract
Multiresolutional systems are intuitively understood as a method of reducing the computational complexity of various systems for estimation and control. In this paper, an attempt is made to prove this property of multiresolutional systems for all stochastic systems
Keywords
computational complexity; extrapolation; stochastic processes; stochastic systems; computational complexity; control; estimation; multiresolutional hierarchies; stochastic systems; Computational complexity; Control systems; Filters; Path planning; Sampling methods; Signal resolution; Stochastic processes; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location
Gaithersburg, MD
ISSN
2158-9860
Print_ISBN
0-7803-4423-5
Type
conf
DOI
10.1109/ISIC.1998.713647
Filename
713647
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