Kalman filters
State-dependent Kalman filters for robust engine control
... The results presented in the previous section indicate improved cylinder air charge (CAC) prediction accuracy when either extended or state-dependent Kalman filters (EKF, SDKF) are used. The derivation of ...
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Kalman filters for assimilating near surface observations into the Richards equation – Part 2: A dual filter approach for simultaneous retrieval of states and parameters
... with Kalman filters ...dual Kalman filter for estimating the root zone soil moisture using a model based on the Richards equation, by combining the EKF to update the state variables, with an ...
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Vehicle sideslip angle estimation using Kalman filters: modelling and validation
... the vehicle and it is often considered to increase the performance of the car as well as to develop safe- ty systems, especially in the vehicle equipped with Torque Vectoring control systems. This paper de- scribes two ...
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Forecasting US unemployment with radial basis neural networks, kalman filters and support vector regressions
... LASSO, Kalman Filter and SVR present improve the statistical accuracy both in the in-sample and out-of-sample ...time-varying Kalman Filter ...than Kalman Filters suggests that the adaptive ...
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Kalman Filters versus Neural Networks in Battery State of Charge Estimation: A Comparative Study
... Battery management systems (BMS) must estimate the state‐of‐charge (SOC) of the battery accu‐ rately to prolong its lifetime and ensure a reliable operation. Since batteries have a wide range of applications, the SOC ...
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On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
... of Kalman filter as a regression of a few past observations? We show that for a natural, large, and well-known class of LDSs, the observ- able LDSs, the dependence of Kalman filter on the past de- cays ...
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A Network of Kalman Filters for MAI and ISI Compensation in a Non Gaussian Environment
... This paper develops a new multiuser detector based on a network of kalman filters (NKF) dealing with multiple-access interference (MAI), intersymbol interference (ISI), and an impulsive observation noise. ...
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Bank of Kalman filters for Fault Detection in quadrotor MAV
... of Kalman Filter for fault detection in quad rotor type ...of Kalman filters consists of six filters that are associated with the total number of the degree of freedom of the quad ...of ...
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ORIENTATION ESTIMATION USING KALMAN FILTERS WITH MULTIPLE SENSORS
... Testing sequences of 25-30 second duration were conducted during which time the electric motor turned the crank at nine different speeds as detailed in the results. Two ATmega328 microcontrollers[13] were used to connect ...
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Kalman Filters for Time Delay of Arrival-Based Source Localization
... particle filters were applied to the acoustic source localization problem [10, ...particle filters represent a generalization of Kalman filters that can handle nonlinear and non-Gaussian state ...
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Adaptive Resource Provisioning for Virtualized Servers Using Kalman Filters
... the Kalman filter technique [Kalman 1960] to track noisy CPU utilisations into feedback controllers for multi-tier virtualized ...using Kalman filters to estimate the parameters of a queueing ...
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Blind Multichannel Deconvolution with Cascaded Kalman Filters
... For each iteration of the blind deconvolution algorithm, the two Kalman filters are performed one after another. The signal-flow graph of the algorithm is shown in Figure 1. The big dashed-line rectangle ...
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Kalman filters for assimilating near surface observations into the Richards equation – Part 3: Retrieving states and parameters from laboratory evaporation experiments
... joint Kalman filtering, performs bet- ter for the simultaneous retrieval of states and ...separate filters – one for the state space and the other for the parameter space – are imple- ...different ...
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Theoretical Approach to Determine Flaw Size in Aircraft Fuselage Panels using Extended Kalman Filters
... Various attempts have been made to study crack-propagation due to cyclic fatigue. The fatigue process that caused the mid-air disintegration of two de Havilland Comets in 1954 has been worked upon to develop a proper ...
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A Critical Appraisal on Engineering Kalman-Filters for Real- Time Object Tracking & Motion Detection Systems
... The Kalman filter predicts the most probable location of a detected object in the subsequent video frame and tracks an object by assuming the initial state and noise ...Extended Kalman Filter (EKF) is used ...
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KALMAN FILTERS AND ARMA MODELS
... The Kalman filter is the celebrated algorithm giving a recursive solution of the prediction problem for time ...as Kalman filter furnishes the optimal predictor, in the sense of least squares, for processes ...
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Forecasting "High" and "Low" of financial time series by Particle systems and Kalman filters
... Particle filters are now widely employed in the estimation of models for financial mar- kets, in particular for stochastic volatility models (Pitt and Shephard, 1999) and ( Lopes and Marigno, 2001), applications ...
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Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions
... extended Kalman filter, which uses a climatological background-error covariance, and (ii) EnSRF, the ensemble square root filter, which uses an ensemble background-error covariance and approximates random rainfall ...
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State Estimation of Common Emitter Amplifier using Iterated Extended Kalman Filters
... “Fourier-hermite kalman filter,” IEEE Transactions on Automatic Control, ...filter-bank-based Kalman filtering technique for wavelet estimation and decomposition of random signals,” IEEE Transactions on ...
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Noise Reduction in Speech Signals Using Discrete-time Kalman Filters Combined with Wavelet Transforms
... In order to evaluate the performance of the proposed algorithm, we used different speech signals sampled at 22050 𝐻𝑧 and using 16 𝑏𝑖𝑡𝑠 𝑝𝑒𝑟 𝑠𝑎𝑚𝑝𝑙𝑒. Those samples where contaminated with additive white Gaussian noise and ...
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