Results 31 to 40 of about 402,870 (201)
Bayesian Nonlinear Filtering via Information Geometric Optimization
Entropy, 2017 In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li +5 more
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Square root kalman filter with contaminated observations [PDF]
, 1992 The algorithm of square root Kalman filtering for the case of contaminated observations is described in the paper. This algorithm is suitable for the parallel computer implementation allowing to treat dynamic linear systems with large number of state ...
Rubio, A., Romera, Rosario, Cipra, Tomas
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Gong-kuang zidonghua, 2014 In view of problems of large errors and low accuracy of positioning technology in coal mine, the strapdown inertial navigation system was introduced into coal mine personnel and equipment for precise positioning and navigation.
LIU Xiaowen, WANG Cun, WANG Long
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A Study on Sensor System Latency in VR Motion Sickness
Journal of Sensor and Actuator Networks, 2021 One of the most frequent technical factors affecting Virtual Reality (VR) performance and causing motion sickness is system latency. In this paper, we adopted predictive algorithms (i.e., Dead Reckoning, Kalman Filtering, and Deep Learning algorithms) to
Ripan Kumar Kundu +2 more
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Estimating Time-Varying Effects of Prognostic Factors for Stomach Cancer Patients within a Dynamic Grouped Cox Model [PDF]
, 1996 We describe the identification of prognostic factors in the framework of a completely resected stomach cancer survival-study. For the analysis the dynamic grouped Cox-Model was used allowing for time-varying covariate effects.
Nekarda, H. +2 more
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A Review of Nonlinear Filtering Algorithms in Integrated Navigation Systems
SensorsNonlinear filtering algorithms have significant implications in the optimal estimation of navigation states and in improving the accuracy, reliability, and robustness of navigation systems.
Jiaqian Si, Yanxiong Niu, Botao Wang
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A Novel Filtering Algorithm of Data Acquisition for Electrical Capacitance Tomography
Journal of Harbin University of Science and Technology, 2018 On the basis of analyzing the filtering algorithm of ECT data acquisition system，according to the characteristics of Kalman filter and wavelet transform，a filtering algorithm based on the characteristics of Kalman filtering and wavelet transform is ...
YANG Ting, CHEN De-yun, WANG Li-li
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BarekengThis paper discusses the stability analysis of robust Kalman filtering on uncertain continuous-time systems. In real applications, systems often face model uncertainty and noise affecting prediction and estimation accuracy.
Budi Rudianto +3 more
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Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 more
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Penalized likelihood estimation and iterative kalman smoothing for non-gaussian dynamic regression models [PDF]
, 1995 Dynamic regression or state space models provide a flexible framework for analyzing non-Gaussian time series and longitudinal data, covering for example models for discrete longitudinal observations.
Fahrmeir, Ludwig, Wagenpfeil, Stefan
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