Reconstruction and basis function construction of electromagnetic interference source signals based on Toeplitz‐based singular value decomposition

2017 ◽  
Vol 11 (1) ◽  
pp. 59-65 ◽  
Author(s):  
Hongyi Li ◽  
Ling Li ◽  
Di Zhao ◽  
Jiaxin Chen ◽  
Pidong Wang
Keyword(s):  
Singular Value Decomposition ◽  
Basis Function ◽  
Electromagnetic Interference ◽  
Singular Value ◽  
Value Decomposition ◽  
Source Signals ◽  
Function Construction

scholarly journals Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Wen-yan Nie ◽  
Zhong-gen Wang
Keyword(s):  
Singular Value Decomposition ◽  
Basis Function ◽  
Matrix Equation ◽  
Function Method ◽  
Plane Waves ◽  
Singular Value ◽  
Efficient Computation ◽  
Incident Plane ◽  
Filling Time ◽  
Value Decomposition

The singular value decomposition (SVD) enhanced improved ultrawideband characteristic basis function method (IUCBFM) is proposed to efficiently analyze the wideband scattering problems. In the conventional IUCBFM, the SVD is only applied to reduce the linear dependency among the characteristic basis functions (CBFs) due to the overestimation of incident plane waves. However, the increase in the size of the targets under analysis will require a large number of incident plane waves and it will become very time-consuming to solve such numbers of the matrix equation. In this paper, the excitation matrix is compressed by using the SVD in order to reduce both the number of matrix equation solutions and the number of CBFs compared with the traditional IUCBFM. Furthermore, the dimensions of the reduced matrix and the reduced matrix filling time are significantly reduced. Numerical results demonstrate that the proposed method is accurate and efficient.

Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter

2017 ◽  
Author(s):  
Ammar Ismael Kadhim ◽  
Yu-N Cheah ◽  
Inaam Abbas Hieder ◽  
Rawaa Ahmed Ali
Keyword(s):  
Feature Extraction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition
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