Random Noise Suppression of Magnetic Resonance Sounding Data with Intensive Sampling Sparse Reconstruction and Kernel Regression Estimation

Random Noise Suppression of Magnetic Resonance Sounding Data with Intensive Sampling Sparse Reconstruction and Kernel Regression Estimation

The magnetic resonance sounding (MRS) method is a non-invasive, efficient and advanced geophysical method for groundwater detection. However, the MRS signal received by the coil sensor is extremely susceptible to electromagnetic noise interference. In MRS data processing, random noise suppression of...

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Bibliographic Details
Main Authors: Xiaokang Yao, Jianmin Zhang, Zhenyang Yu, Fa Zhao, Yong Sun
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
magnetic resonance sounding (MRS)
random noise suppression
sampling record method
signal estimation
intensive sampling
sparse reconstruction
kernel regression estimation
Online Access:https://www.mdpi.com/2072-4292/11/15/1829

Internet

https://www.mdpi.com/2072-4292/11/15/1829

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