estimation-based adaptive filtering
Research on an Adaptive Maneuvering Target Tracking Algorithm
... new adaptive maneuvering target tracking algorithm is ...of adaptive Kalman filtering under the spherical coordinate system and its counterpart under the Cartesian coordinate ...The adaptive ...
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Empirical Mode Decomposition based Adaptive Filtering for Orthogonal Frequency Division Multiplexing Channel Estimation
... EMD based AF as compared to conventional AF for BPSK ...EMD based AF as compared to conventional ...EMD based AF has shown clear improvement in performance compared to the other methods for all ...
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Estimation and Mitigation of GPS Multipath Interference Using Adaptive Filtering
... using adaptive filter shows that forward filtering using data on two successive days is better than backward filtering ...error estimation and mitigation is implemented based on data ...
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Variable step size based sparse adaptive filtering algorithm for channel estimation in broadband wireless communication systems
... the estimation performance, conver- gence rate, and computational ...steady-state estimation performance and convergence ...the estimation performance [11] without sacrificing the con- vergence ...
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An adaptive data filtering model for remaining useful life estimation
... network filtering approach for trajectory similarity based remaining useful life ...dynamic filtering, in which the time se- ries having full operational conditions are used to train a neural network ...
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Data Fusion Method Based on Adaptive Kalman Filtering
... sensor is attached to the other side of the double syringe, and it measures the position of stainless steel plane attached to the piston rod of syringe. The plane will dynamically move following the piston movement. ...
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Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes
... collaborative filtering algorithm based on kernel density estimation; literature [7] proposed a new method by setting the scaling parameter to liner combined the user based and item ...
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Adaptive multichannel sequential lattice prediction filtering method for ARMA spectrum estimation in subbands
... algorithms based on orthogonal Givens rotation for equal as well as unequal channel orders were later presented by Ronto- giannis and Theodoridis ...these adaptive multichannel processing tech- niques, and ...
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An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising
... transform based on its benefit to capture the oriented geometrical structures of ...the estimation of the Mean Square Error between the clean image and the denoised one in the NSCT ...features based ...
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Bibliographic Review on Distributed Kalman Filtering
... for adaptive quantization, fusion-center feedback, and estimation of a spatial random field and its parameters are treated in ...not based on weighted sums of local estimates, are presented in ...
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Adaptive low-rank channel estimation for multi-band OFDM ultra-wideband communications
... an adaptive low-rank channel estimation scheme based on the Wiener filtering (WF) technique is proposed for MB-OFDM UWB communication ...an adaptive 2-to-1 fuzzy-inference controlled ...
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Vol 3, No 12 (2015)
... algorithm-based adaptive control [30], a proportional regulator is used to improve the dynamic performance of the system because it needs high gain at only fundamental and harmonic frequencies of the load ...
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Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling
... 3.1.2. Adaptive Rate Filtering. It is known that for fixed design parameters (cut-off frequency, transition-band width, pass-band, and stop-band ripples) the FIR filter order varies as a function of the ...
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Change Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-based Filtering
... statistics. Filtering, having been considered a DLM estimation process, was utilized in order of estimating unidentified variables following the change ...
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Kalman Filtering based Channel Estimation for MIMO OFDM
... channel estimation by training sequence can be ...channel estimation methods in two ways: blind estimation methods and guidelines frequency of the auxiliary estimation ...Blind ...
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Filtering Approaches in Medical Image Processing: A Tutorial
... There are several imaging technologies that provide imaging of human internal organs which can be observed, analyzed and stored in computers for the purpose of diagnosis of internal diseases and disorders. Most popular ...
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A Framework for Adaptive Personalized E-learning Recommender Systems
... The recommendation results from the pages and the content which the learner visited with no consideration about what other learners did. Documents and lessons retrieval results in identification of user preferences and ...
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Joint time frequency analysis and filtering of single trial event related potentials
... The ongoing electrical activity of the brain is known as the electroencephalograph (EEG). Event related potentials (ERPs) axe voltage deviations in the EEG elicited in association with stimuli. Their elicitation require ...
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KNOWLEDGE EXTRACTION METHOD USING STOCHASTIC APPROACHES IN GOOGLE MAPS
... locally adaptive window is used for the estimation of signal variance in each subband in the proposed ...subband adaptive Bayesian estimate of the threshold is determined using the modeled subband ...
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Metaheuristic Based Noise Identification and Image Denoising Using Adaptive Block Selection Based Filtering
... is based on the principle of dimensionality ...reduction based on Krylov iterative solvers [8] has been pre- sented and it is performed by updating a preconditioner based on incomplete ...
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