Results 11 to 20 of about 297,748 (266)
Filtering Algorithms for the NValue Constraint [PDF]
The NValue constraint counts the number of different values assigned to a vector of variables. Propagating generalized arc consistency on this constraint is NP-hard. We show that computing even the lower bound on the number of values is NP-hard. We therefore study different approximation heuristics for this problem.
Christian Bessiere +4 more
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Fast algorithm for Morphological Filters [PDF]
In surface metrology, M-system (Mean-line filtering system) and E-system (Envelope filtering system) are two filtering approaches. Although M-system has been the dominant choice and played an important role in manufacturing control, Morphological filters, that evolved from the E-system, are believed to give better results in function prediction of ...
S. Lou, X. Jiang, P.J. Scott
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Improved Active Contour Snake Model for Hollow Filter Bar Roundness Inspection
Cigarette filter rods are a kind of easily deformed and irregularly shaped parts, and the quality of cigarette filter rods is often measured by the filter rod roundness index, although they are affected by factors such as environment and humidity, which ...
Kun Zhao +3 more
doaj +1 more source
Improved Interacting Multiple Model Particle Filter Algorithm [PDF]
For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter ...
doaj +1 more source
Forecasting-aided state estimation of integrated energy systems based on improved particle filter
Efficient and accurate state estimation is the basis for the safety and stability of the integrated energy system (IES). Particle filter has high precision and strong adaptability to nonlinear systems,and it has been applied to state estimation of power ...
YANG Dechang +5 more
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Dilated Filters for Edge-Detection Algorithms [PDF]
Edges are a basic and fundamental feature in image processing that is used directly or indirectly in huge number of applications. Inspired by the expansion of image resolution and processing power, dilated-convolution techniques appeared. Dilated convolutions have impressive results in machine learning, so naturally we discuss the idea of dilating the ...
Ciprian Orhei +3 more
openaire +3 more sources
A Robust State Estimator for T-S Fuzzy System
In this paper, a robust filter is derived to estimate the state of a nonlinear system which is described by T-S fuzzy model. Firstly, this paper studies a robust state estimation algorithm based on the relationship between Kalman filter and regularized ...
Ziqiang Li, Jing Wang, Huabo Liu
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Digital filtering is one of the main fundamental aspect of digital signal processing (DSP). Finite Impulse Response (FIR) digital filter design involves multi parameter optimization, on which the existing optimization algorithm may does not work ...
Ali Subhi Abbood
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Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm
Standard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness.
FengJun Hu, Qian Zhang, Gang Wu
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Closed Loop Subspace Identification [PDF]
A new three step closed loop subspace identifications algorithm based on an already existing algorithm and the Kalman filter properties is presented. The Kalman filter contains noise free states which implies that the states and innovation are uneorre ...
Geir W. Nilsen, David Di Ruscio
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