Results 11 to 20 of about 1,010,913 (260)
A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method [PDF]
پژوهشهای ریاضی, 2015 A new technique to find the optimization parameter in TSVD regularization method is based on a curve which is drawn against the residual norm [5]. Since the TSVD regularization is a method with discrete regularization parameter, then the above-mentioned ...
A.R. Keshvari, S.M Hosseni
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A simplified L-curve method as error estimator [PDF]
ETNA - Electronic Transactions on Numerical Analysis, 2020 The L-curve method is a well-known heuristic method for choosing the regularization parameter for ill-posed problems by selecting it according to the maximal curvature of the L-curve. In this article, we propose a simplified version that replaces the curvature essentially by the derivative of the parameterization on the $y$-axis.
Stefan Kindermann 0001, Kemal Raik
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Observation Selection, Total Variation, and L-Curve Methods for LiDAR Data Denoising [PDF]
Advances in Meteorology, 2022 In this article, we propose a light detection and ranging (LiDAR) data denoising scheme for wind profile observation as a part of quality control procedure for wind velocity monitoring and windshear detection. The proposed denoising scheme consists of several components.
Jie Zhang, Pak Wai Chan, Michael K. Ng
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Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter [PDF]
Nonlinear Biomedical Physics, 2010 The electroencephalography (EEG) is an attractive and a simple technique to measure the brain activity. It is attractive due its excellent temporal resolution and simple due to its non-invasiveness and sensor design. However, the spatial resolution of EEG is reduced due to the low conducting skull.
Subramaniyam, Narayan P +3 more
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Detecting Periodically Expressed Genes based on Time-frequency Analysis and L-curve Method [PDF]
18th International Conference on Pattern Recognition (ICPR'06), 2006 In microarray experiments, gene expression profiles are often affected by biological properties, such as synchronization loss, and show some non-stationarity. Worse still, the microarray data usually suffers from missing values. The conventional spectrum-based methods, when used to identify a subset of genes that are periodically expressed, are ...
Xiangchao Gan +2 more
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Ядерна фізика та енергетика, 2019 Within the framework of the problem of spectrum deconvolution, variant of the choice of the regularization parameter by criterion of the L-curve, based on the displacement along the points of the L-curve graph, is proposed. An analysis of dependencies on
A. M. Sokolov
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Critical Quality Control on Determination of Boron Using ICP-OES with Gravimetric Method
Indonesian Journal of Chemical Analysis, 2022 Critical quality control on the determination of boron using ICP-EOS with gravimetric method is carried out. This study was conducted to examine the critical aspects which include linearity, LOD, LOQ, precision, and accuracy.
Oktavia Isma Robbika +2 more
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Spectrum deconvolution: the indicator for the balance region and regularization parameter choice by the +S-curve method [PDF]
Ядерна фізика та енергетикаWhen solving the problem of spectrum deconvolution, i.e., the problem of eliminating the distorting influence of equipment during the registration of experimental spectrometric data, the choice of the regularization parameter (RP) in the commonly used ...
A. M. Sokolov
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Adsorption Science & Technology, 2014 Adsorption energy distributions (AEDs) can be calculated from measured adsorption isotherms by numerical methods upon regularization of the adsorption integral equation.
Steffen Arnrich +3 more
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Development and Validation of a Novel Kinetic Spectrophotometric Method for Determining N-acetyl-L-cysteine [PDF]
Kemija u IndustrijiN-acetyl-L-cysteine (NAC) is a precursor of glutathione and a natural antioxidant. It is used to treat paracetamol overdose and to dissolve thick bronchial mucus.
Maja Biočić Šormaz +2 more
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