Results 11 to 20 of about 89,005 (240)
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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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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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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Scientific Reports, 2022 The adaptive block size processing method in different image areas makes block-matching and 3D-filtering (BM3D) have a very good image denoising effect. Based on these observation, in this paper, we improve BM3D in three aspects: adaptive noise variance ...
Hongbin Jia, Qingbo Yin, Mingyu Lu
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Single-Stage Adaptive Multi-Scale Point Cloud Noise Filtering Algorithm Based on Feature Information
Remote Sensing, 2022 This paper proposes a single-stage adaptive multi-scale noise filtering algorithm for point clouds, based on feature information, which aims to mitigate the fact that the current laser point cloud noise filtering algorithm has difficulty quickly ...
Zhen Zheng +5 more
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Sensors, 2010 In this paper, the fast least-mean-squares (LMS) algorithm was used to both eliminate noise corrupting the important information coming from a piezoresisitive accelerometer for automotive applications, and improve the convergence rate of the filtering ...
Eduardo Fernández +3 more
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Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 more
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An Alignment Method Based on KF-ASMUKF Hybrid Filtering for Ship’s SINS under Mooring Conditions
Sensors, 2021 To solve the problem that the ship’s strapdown inertial navigation system (SINS) alignment accuracy decreases with the increase of the nonlinear filtering state dimension under mooring conditions, a method based on Kalman filter (KF) and Adaptive scale ...
Pengchao Yao, Gongliu Yang, Xiafu Peng
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