Results 21 to 30 of about 1,517,624 (291)
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.
Dariush Kari +4 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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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.
HONG, J., PSALTIS, D.
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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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Adaptive digital signal processing Java teaching tool [PDF]
, 2001 This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is on of the most important areas of signal processsing, and provides the core algorithmic means to ...
Harteneck, M., Stewart, R.W.
core +4 more sources
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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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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