A new method and an algorithm of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The algorithm uses a linear Kalman filter for a four-dimensional dynamic-st...
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A new method and an algorithm of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The algorithm uses a linear Kalman filter for a four-dimensional dynamic-stochastic model of space-time variations of the atmospheric parameters. The results of statistical estimation of the quality of the algorithm used for spatial extrapolation of mesoscale temperature and wind velocity fields are discussed.
In this paper we propose a digital TV (total variation) restoration model based on graph theory, motivated by the classical continuous TV restoration model of Rudin, Osher and Fatemi. We investigate its advantages in ...
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ISBN:
(纸本)078037925X
In this paper we propose a digital TV (total variation) restoration model based on graph theory, motivated by the classical continuous TV restoration model of Rudin, Osher and Fatemi. We investigate its advantages in de-noising and enhancing non-texture images, and also analyze its shortcomings in deal with the texture images. Following the ideas of Yves Meyer in a total variation minimization framework of ***, S. Os-her and ***, we propose a new image filtering algorithm subsuming the digital TV filter and the residual error correction scheme. In our algorithm, we decompose a given image u(0) into a sum of two parts u + v by two-step method, where in the first step digital TV filter is used to obtain u which is the sketchy approximation of 0, while the texture information in V is extracted by the residual error correction scheme using wavelet and wavelet packet thresholding technique. Experiments show our hybrid algorithm has more abroad application perspective and has better performance than digital TV filteringalgorithm on real image.
This paper evaluates the performance of a distributed Kalman filter applied to an ultrasound based positioning application with seven sensor nodes. By distributed we mean that all nodes in the network desires an estim...
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ISBN:
(纸本)9781424414970;1424414970
This paper evaluates the performance of a distributed Kalman filter applied to an ultrasound based positioning application with seven sensor nodes. By distributed we mean that all nodes in the network desires an estimate of the full state of the observed system and there is no centralized computation center after deployment. Communication only takes place between neighbors and only once each sampling interval. The problem is solved by communicating estimates between neighbors and then forming a weighted average as the new estimate. The weights are optimized to yield a small estimation error covariance in stationarity. The minimization can be done off line thus allowing only estimates to be communicated. In the experimental setup the distributed solution performs almost as good as a centralized solution. The proposed algorithm also proved very robust against packet loss.
The Attitude Heading Reference System (AHRS) provides data for primary flight instruments, head-up displays, autopilots, and moving map navigation systems. Advances in solid-state MEMS rate sensors, coupled with Kalma...
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The Attitude Heading Reference System (AHRS) provides data for primary flight instruments, head-up displays, autopilots, and moving map navigation systems. Advances in solid-state MEMS rate sensors, coupled with Kalman Filter algorithms designed to mitigate high drift rates, provide the basis for low-cost, high-performance AHRS for general aviation. This paper describes the performance of a low cost miniaturized AHRS using automotive-grade MEMS sensors. The performance of the system is detailed. The implications for certification of this class of system and fault tolerance are discussed.
One of the main purposes of the ALICE Inner Tracking System (ITS) is to improve the resolution of the track parameters found in the main ALICE tracker detector, the Time Projection Chamber (TPC). Some results about tr...
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One of the main purposes of the ALICE Inner Tracking System (ITS) is to improve the resolution of the track parameters found in the main ALICE tracker detector, the Time Projection Chamber (TPC). Some results about tracking efficiency and resolution of track parameters obtained with a tracking code, based on the Kalman filter algorithm, are presented. (C) 2002 Elsevier Science B.V. All rights reserved.
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