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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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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Filtering procedures for untargeted LC-MS metabolomics data
BMC Bioinformatics, 2019 Background Untargeted metabolomics datasets contain large proportions of uninformative features that can impede subsequent statistical analysis such as biomarker discovery and metabolic pathway analysis.
Courtney Schiffman +9 more
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Improved Non-local Means Filtering Algorithm [PDF]
Jisuanji gongcheng, 2016 The non-local means filtering algorithm is an efficient denoising algorithm that can restore details of image texture well.However,the algorithm cannot adaptive adjust filtering parameters and the filtering result is easy to produce artifacts.Owing to ...
GUO Beibei,YI Sanli,HE Jianfeng,MIAO Ying,SHAO Dangguo
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Leida xuebao, 2015 Because of the limitations of traditional Principal Component Analysis (PCA) in clutter reduction, an improved PCA subspace method is proposed based on the 2D wavelet transform.
Qin Yao, Huang Chun-lin, Lu Min, Xu Wei
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Amended Adaptive Algorithm for Corpus Based Improved Speech Enhancement [PDF]
International Journal of Electronics and Telecommunications, 2019 Speech enhancement objective is to improve the noisy speech signals for human perception. The intention of speech enhancement algorithm is to improve the performance of the communication, when the signal is occluded by noise.
P. Shanmuga Priya +2 more
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