main webpage
W Topic
Singular Value Decomposition
Journal of Physics Conference Series • Vol 2895 • No 1
Full-waveform Inversion of Noisy GPR Data in Frequency Domain Based on Quasi-Newtonian Algorithm
2024
Abstract Ground penetrating radar (GPR) is a non-destructive detection technology. Full-waveform inversion (FWI) of GPR data promise for the quantitative characterization of the earth’s shallow subsurface parameters, which is useful for the interpretation and…
Article

Singular Value Decomposition

Matrix decomposition

In linear algebra, the singular value decomposition ( SVD ) is a factorization of a real or complex matrix. It generalizes the eigendecomposition of a square normal matrix with an orthonormal eigenbasis to any m × n {\displaystyle \ m\times n\ } matrix. It is related to the polar decomposition.

Exploring foci of:
Journal of Physics Conference Series • Vol 2895 • No 1
Full-waveform Inversion of Noisy GPR Data in Frequency Domain Based on Quasi-Newtonian Algorithm
2024
Abstract Ground penetrating radar (GPR) is a non-destructive detection technology. Full-waveform inversion (FWI) of GPR data promise for the quantitative characterization of the earth’s shallow subsurface parameters, which is useful for the interpretation and subsurface mapping. In this paper, we present a full-waveform inversion target imaging framework for GPR. In the method, the singular value decomposition (SVD) and least squares (LS) methods are used to denoise the measured scattering field. Secondly, the con…
Click Singular Value Decomposition Vs:
Ground-Penetrating Radar
Algorithm
Radar
Computer Science
Seismology
Chemistry
Biochemistry