Results 11 to 20 of about 4,690,072 (303)
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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Cellular automata-based approach for salt-and-pepper noise filtration
Journal of King Saud University: Computer and Information Sciences, 2022 Application of cellular automata (CA) to digital image processing has achieved considerable attention in last several years. CA are now employed in noise filtration of digital images; particularly many CA-based impulse noise filters have been proposed ...
Zubair Jeelani, Fasel Qadir
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Possible solution of parallel FIR filter structure [PDF]
Serbian Journal of Electrical Engineering, 2005 In this paper, a parallel form FIR adaptive filter structure with RLS (Recursive Least Squares) type adaptive algorithm is proposed. The proposed parallel form FIR structure consists of a recursive orthogonal transform stage and sparse FIR sub filters ...
Petrović Predrag
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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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Adaptive-FRESH Filtering [PDF]
, 2011 Adaptive filters are self-designing systems for information extraction which rely for their operation on a recursive algorithm (Haykin, 2001). They find application in environments where the optimum filter cannot be applied because of lack of knowledge about the signal characteristics and/or the data to be processed.
Ojeda, Omar A. Yeste, Grajal, Jesús
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Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking [PDF]
IEEE Transactions on Image Processing, 2018 With efficient appearance learning models, discriminative correlation filter (DCF) has been proven to be very successful in recent video object tracking benchmarks and competitions.
Tianyang Xu +3 more
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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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Geometric-Algebra Adaptive Filters [PDF]
IEEE Transactions on Signal Processing, 2016 This paper reformulates adaptive filters (AFs) in the framework of geometric algebra (GA), developing a complete study of the resulting geometric-algebra adaptive filters (GAAFs).
W. B. Lopes, C. G. Lopes
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