Results 31 to 40 of about 181,123 (313)
Two Stage Kalman Estimators with Probabilistically Weighted Average [PDF]
Engineering and Technology Journal, 2009 With spherical coordinate, the adaptive estimation using multiple model filtering isenhanced in this paper. The enhancement is achieved by using just two depended parallelKalman filters, instead of multiple models, with the probabilistically weighted ...
Hanady Abbas Jaber
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A Zero-Velocity Update Method for Adaptive Particle Filtering
Xibei Gongye Daxue Xuebao, 2020 Aiming at the low precision of Kalman filter in dealing with non-linear and non-Gaussian models and the serious particle degradation in standard particle filter, a zero-velocity correction algorithm of adaptive particle filter is proposed in this paper ...
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IEEE Access, 2022 The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control.
Arobinda Dash +5 more
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Adaptive Kernel Kalman Filter [PDF]
IEEE Transactions on Signal Processing, 2021 Sequential Bayesian filters in non-linear dynamic systems require the recursive estimation of the predictive and posterior distributions. This paper introduces a Bayesian filter called the adaptive kernel Kalman filter (AKKF). With this filter, the arbitrary predictive and posterior distributions of hidden states are approximated using the empirical ...
Mengwei Sun +3 more
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Medical image enhancement using threshold decomposition driven adaptive morphological filter [PDF]
, 2008 One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image.
Mahmoud, Tarek A. +4 more
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On Implementation and Design of Filter Banks for Subband Adaptive Systems
, 1998 This paper introduces a polyphase implementation and design of an oversampled K-channel generalized DFT (GDFT) filter bank, which can be employed for subband adaptive filtering, and therefore is required to have a low aliasing level in the subband ...
Weiss, Stephan +11 more
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Recursive Optimal Finite Impulse Response Filter and Its Application to Adaptive Estimation
Applied Sciences, 2022 In this paper, the recursive form of an optimal finite impulse response filter is proposed for discrete time-varying state-space models. The recursive form of the finite impulse response filter is derived by employing finite horizon Kalman filtering with
Bokyu Kwon, Sang-il Kim
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Efficient Subband Adaptive Filtering with Oversampled GDFT Filter Banks
, 1997 This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT filter banks and their potential benefits over other possible subband decompositions.
Stephan Weiß +8 more
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Adaptive equalisation in oversampled subbands [PDF]
, 1998 The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long filters, which can have slow convergence for LMS-type adaptive algorithms.
Nandi, A.K. +15 more
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Adaptive Kuwahara filter [PDF]
Signal, Image and Video Processing, 2015 A new filter was created by improving the standard Kuwahara filter. It allows more efficient noise reduction without blurring the edges and image preparation for segmentation and further analyses operations. One of the biggest and most common restrictions encountered in filter algorithms is the need for a declarative definition of the filter window ...
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