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Kalman filter based approach

Kalman filter physical retrieval of surface emissivity and temperature from SEVIRI infrared channels: a validation and intercomparison study

Kalman filter physical retrieval of surface emissivity and temperature from SEVIRI infrared channels: a validation and intercomparison study

... A Kalman filter-based approach for the physical retrieval of surface temperature and emissivity from SEVIRI (Spinning Enhanced Visible and Infrared Imager) infrared observations has been ...

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Estimation of the Vehicle Sideslip Angle by Means of the State Dependent Riccati Equation Technique

Estimation of the Vehicle Sideslip Angle by Means of the State Dependent Riccati Equation Technique

... state-dependent-Riccati-equation based Kalman filter has been proposed for the estimate of the vehicle sideslip ...proposed approach is not based on specific interaction models that ...

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An Unscented Kalman Filter-based Synchronization Control Approach for Communication-Based Train Control Systems

An Unscented Kalman Filter-based Synchronization Control Approach for Communication-Based Train Control Systems

... unscented Kalman filter (UKF)-based sensor fusion approach as the localization ...proposed approach, the train localization task is performed using an UKF-based sensor fusion ...

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Low-Cost Tightly Coupled GPS/INS Integration system Based On Sigma point Kalman Filter

Low-Cost Tightly Coupled GPS/INS Integration system Based On Sigma point Kalman Filter

... Exploration is a field that concentrate on the process of checking & managing the change of craft or vehicle from one place to another. This consist four general categories:(i)Land Navigation, (ii)Marine ...

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Missing in Asynchronicity: A Kalman-EM Approach for Multivariate Realized Covariance Estimation

Missing in Asynchronicity: A Kalman-EM Approach for Multivariate Realized Covariance Estimation

... new approach to the estimation of the covariance matrix based on the idea of viewing the asynchronicity problem as a missing values problem on a set of otherwise synchronous ultra-high-frequency series; ...

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EXTENDED KALMAN FILTER APPROACH FOR REDUCING TRAFFIC CONGESTION IN VANET ISHU

EXTENDED KALMAN FILTER APPROACH FOR REDUCING TRAFFIC CONGESTION IN VANET ISHU

... the Kalman filter is that it is designed to estimate the states of a linear system based on measurements that are a linear function of the ...a Kalman filter, we have a non -linear ...

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Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra Delta

Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra Delta

... is at best 7–10 days, but most reliably 1 month, caused by a need to accumulate GRACE observations over this time period. Both latency and temporal averaging currently limit the potential use of the GRACE Level-3 ...

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Handling Occlusions for Robust Augmented Reality Systems

Handling Occlusions for Robust Augmented Reality Systems

... algorithm based on coded fiducials is ...hybrid approach based on a direct method combined with the Kalman ...flow approach to track visible points and maintain virtual graphics ...

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Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes

Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes

... assumption based filters. In this work, we develop a novel robust filter that adopts both Gaussian and multivariate t -distributions to model the outliers contaminated measurement ...(RVB) approach ...

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A Kalman Filter Approach to Equalization of CDMA Downlink Channels

A Kalman Filter Approach to Equalization of CDMA Downlink Channels

... the Kalman filter (KF) to achieve an unbiased signal estimate satisfying the linear mini- mum mean-squared error (LMMSE) ...approaches based on finite-impulse response (FIR) ...KF-based ...

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A Kalman Filter Approach Applied to the Qualitative Assessment of Structural Damage

A Kalman Filter Approach Applied to the Qualitative Assessment of Structural Damage

... the Kalman Filter algorithm and outlines a procedure that can be used to assess structural ...essentially based on the estimate of unknown stiffness parameters of the structure, whose changes over ...

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A Diagnosis Approach for Typical Faults of Lithium-ion Battery Based on Extended Kalman Filter

A Diagnosis Approach for Typical Faults of Lithium-ion Battery Based on Extended Kalman Filter

... diagnosis approach based on extended Kalman filter and incremental capacity analysis is proposed with fully understanding the internal failure mechanism of lithium-ion battery, which is ...

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Robust Model- Based Fault Detection and Isolation for V47/660kW Wind Turbine

Robust Model- Based Fault Detection and Isolation for V47/660kW Wind Turbine

... model based FDI methods use the mathemtical model of the system as the redundancy ...- based approach. The residuals are obtained by using a Kalman filter ...detection approach ...

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Cooperative Control of Multiple Quadrotors for Transporting a Common Payload

Cooperative Control of Multiple Quadrotors for Transporting a Common Payload

... algorithm based on a decentralized ...designed based on Second Order Sliding Mode (SOSMC) approach using Extended Kalman-Bucy Filter (EKBF) to estimate the unmeasured states which is ...

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Acoustic cardiac signals analysis: a Kalman filter–based approach

Acoustic cardiac signals analysis: a Kalman filter–based approach

... specific filter structure that provides optimal filtering in the mean-squared error ...this approach is that if the signal is time-frequency vari- able and the assumption mode based on stationary ...

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On the vehicle sideslip angle estimation: a literature review of methods, models and innovations

On the vehicle sideslip angle estimation: a literature review of methods, models and innovations

... cubature Kalman filter (SCKF) and the square-root cubature-based receding horizon Kalman filter ...this approach still has potential issues in terms of computational ...

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5820.pdf

5820.pdf

... are Kalman- filter-based, despite the fact that a reliable system state evolution (process) model is usually not ...the approach proposed in [52] predicts the load flow data at the next time ...

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A Forward-Backward Kalman Filter-based  Receiver

A Forward-Backward Kalman Filter-based Receiver

... Orthogonal frequency division multiplexing ( OFDM ) is a technique that enables high speed transmission over fre- quency selective channels with simple equalizers. It does this by creating a set of parallel ...

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Particle / Kalman Filter for Efficient Robot Localization

Particle / Kalman Filter for Efficient Robot Localization

... Different filters namely Kalman filter KF, Particle Filter PF and a proposed Enhanced Particle/Kalman Filter EPKF implemented in Matlab environment and their performance are evaluated in[r] ...

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Spot price modelling of industrial metals – an heterogeneous agent based model for Copper

Spot price modelling of industrial metals – an heterogeneous agent based model for Copper

... agent based model will be presented in this paper to assess the effect of fundamental as well as technical traders on the price of ...is based on the fundamentals of copper it makes sense to take supply and ...

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