A new method based on singular value decomposition (SVD) was developed to identify liquid precursor chemicals in this paper. Feature scattering spectra of several kinds of pure liquid precursor chemicals were described through energy-dispersive x-ray scattering (EDXRS). These spectra, each of which...
On the Use of Singular Value Decomposition for a Fast Intrusion Detection System Traditionally, the application of data mining in intrusion detection systems (IDS) concentrates on the construction of operational IDSs. The main emphasis ... S Rawat,AK Pujari,VP Gulati - 《Electronic Notes in ...
A successful application of singular value decomposition analysis to time-dependent powder diffraction data of an in-situ photodimerization reaction of some anthracene derivatives is presented. Singular value decomposition (SVD) analysis has important applications for time-dependent crystallographic data, extra...
This project demonstrates the application of Singular Value Decomposition (SVD) for image compression using Python and NumPy. - GitHub - Ayoub-etoullali/SVD-Singular-Value-Decomposition: This project demonstrates the application of Singular Value Decompo
The operators of longitudinal and transverse ray transforms acting on vector fields on the unit disc are considered in the paper. The goal is to construct SVD-decompositions of the operators and invert them approximately by means of truncated decomposition for the parallel scheme of data acquisition...
A method based on Singular Value Decomposition(SVD) is presented to solve Tie Points(TPs) detection in Interferometric Synthetic Aperture Radar(InSAR) block.The core concept is to construct a corresponding matrix through SVD of the dissimilar distribution matrix which characterizes the dissimilarity distr...
Application of singular value decomposition to DNA microarray. In the last decade, molecular biologists have been using DNA micro-arrays as a tool for analyzing information in gene expression data. During the laborator... A Niknejad - University of Illinois at Chicago. 被引量: 0发表: 2005年 A...
singular value decomposition estimates the slope of phase by a least-squares fit and well-known Fourier shift property whose speed is nearly three times as quickly as original method.The method is robust in the presence of noise and shelter because of using phase information in the frequency ...
Digital Image & Signal Processing Application of Singular Value Decomposition Method to Image Reconstruction Tanshinone IIA is a derivative of phenanthrene-quinone isolated from Danshen, a widely used Chinese herbal medicine. It has antioxidant properties, cytotox... YS Shim,SP Kim - Journal of Neuro...
2-D time–frequency image, the singular value decomposition (SVD) and the generalized demodulation technique are applied to obtain the component of interest... Z Yu,Y Sun,W Jin - 《Signal Processing》 被引量: 18发表: 2016年 DISTRIBUTED MULTIRESOLUTION DISCRETE FOURIER TRANSFORM AND ITS APPLICAT...