Results 1 to 10 of about 89,005 (240)
Robust adaptive filtering algorithms based on (inverse)hyperbolic sine function. [PDF]
PLoS ONE, 2021 Recently, adaptive filtering algorithms were designed using hyperbolic functions, such as hyperbolic cosine and tangent function. However, most of those algorithms have few parameters that need to be set, and the adaptive estimation accuracy and ...
Sihai Guan +3 more
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Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments [PDF]
BMC Bioinformatics, 2022 Background In RNA-sequencing studies a large number of hypothesis tests are performed to compare the differential expression of genes between several conditions.
Sonja Zehetmayer +2 more
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A SINS/DVL Integrated Positioning System through Filtering Gain Compensation Adaptive Filtering [PDF]
Sensors, 2019 Because of the complex task environment, long working distance, and random drift of the gyro, the positioning error gradually diverges with time in the design of a strapdown inertial navigation system (SINS)/Doppler velocity log (DVL) integrated ...
Xiaozhen Yan +4 more
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Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems [PDF]
Problems of the Regional Energetics, 2023 The aim of this work is to investigate the efficiency of various adaptive filtering methods for higher harmonic components of stator currents in a vector-controlled traction drive system to improve the operation efficiency of electric rolling stock.
Goolak S.
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An approach to adaptive filtering with variable step size based on geometric algebra
IET Communications, 2022 Recently, adaptive filtering algorithms have attracted much more attention in the field of signal processing. By studying the shortcoming of the traditional real‐valued fixed step size adaptive filtering algorithm, this paper proposed the novel approach ...
Haiquan Wang +3 more
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Boosted adaptive filters [PDF]
Digital Signal Processing, 2018 Abstract We introduce the boosting notion of machine learning to the adaptive signal processing literature. In our framework, we have several adaptive filtering algorithms, i.e., the weak learners, that run in parallel on a common task such as equalization, classification, regression or filtering.
Kari, Dariush +4 more
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ACM Journal of Experimental Algorithmics, 2018 We introduce the adaptive cuckoo filter (ACF), a data structure for approximate set membership that extends cuckoo filters by reacting to false positives, removing them for future queries. As an example application, in packet processing queries may correspond to flow identifiers, so a search for an element is likely to be followed by repeated searches ...
Mitzenmacher M +2 more
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Adaptive Filtering Revisited [PDF]
Journal of the Operational Research Society, 1979 This paper shows that the adaptive filtering and forecasting techniques proposed by Makridakis and Wheelwright can be viewed as approximations to a more precise filtering method in which the Kalman filter is applied to a dynamic autoregressive model which is a special case of the models of Harrison and Stevens.
Nau, Robert F, Oliver, Robert M
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Mesh Denoising via Adaptive Consistent Neighborhood
Sensors, 2021 In this paper, we propose a novel guided normal filtering followed by vertex updating for mesh denoising. We introduce a two-stage scheme to construct adaptive consistent neighborhoods for guided normal filtering.
Mingqiang Guo +5 more
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Adaptive acoustooptic filter [PDF]
Applied Optics, 1984 A new adaptive filter utilizing acoustooptic devices in a space integrating architecture is described. Two configurations are presented; one of them, suitable for signal estimation, is shown to approximate the Wiener filter, while the other, suitable for detection, is shown to approximate the matched filter.
D, Psaltis, J, Hong
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