Results 11 to 20 of about 66,787 (268)
Journal of Research of the National Bureau of Standards, 1985 The increased power of small computers makes the use of parameter estimation methods attractive. Such methods have a number of uses in analytical chemistry. When valid models are available, many methods work well, but when models used in the estimation are in error, most methods fail.
Brown, Steven D., Rutan, Sarah C.
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Multiple model estimation with inter-residual distance feedback [PDF]
Modeling, Identification and Control, 1992 This paper presents a modification of the Multiple Model Adaptive Estimation concept. A trade-off problem between tracking the process and distinguishing the models is pointed out and an adaption of the elemental filters is proposed.
Eivind J. Lund +2 more
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Effect of adaptive line enhancement filters on noise cancellation in ECG signals [PDF]
Serbian Journal of Electrical Engineering, 2021 Power line interference is the main noise source that contaminates Electrocardiogram (ECG) signals and measurements. In recent years, adaptive filters with different approaches have been investigated to eliminate power line interference in ECG ...
Karraz George
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An Affine Combination of Adaptive Filters for Channels with Different Sparsity Levels
Telfor Journal, 2016 In this paper we present an affine combination strategy for two adaptive filters. One filter is designed to handle sparse impulse responses and the other one performs better if impulse response is dispersive. Filter outputs are combined using an adaptive
M. Butsenko, T. Trump
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Output signal based combination of two NLMS adaptive filters – transient analysis; pp. 258–268 [PDF]
Proceedings of the Estonian Academy of Sciences, 2011 A combination of two complex normalized least mean square (NLMS) adaptive filters that adapt on the same input signal at the same time is investigated. One of the filters has a large and the other one has a small step size. The outputs of the filters are
Tõnu Trump
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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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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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A novel heuristic for the analysis of block sign LMS algorithm
Electronics Letters, 2023 This paper presents a new heuristic for the analysis of adaptive filtering algorithms. It combines Price's Theorem (which is strictly valid when the random variables are jointly Gaussian) with a probabilistic model of the input data that assumes ...
Newton Norat Siqueira +2 more
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Algorithms, 2018 The combination of adaptive filters is an effective approach to improve filtering performance. In this paper, we investigate the performance of an adaptive combined scheme between two adaptive multiple-input single-output (MISO) filters, which can be ...
Danilo Comminiello +3 more
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New variant of NLMS/F algorithm with low computational cost
Revista Elektrón, 2022 Adaptive filters are used in a wide variety of signal processing applications (e.g., acoustic echo cancellation, system identification, channel equalization, etc.).
Laura Jazmín Hidalgo Hernández +4 more
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