Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Magnetotelluric signal denoising method and system based on improved multi-scale dispersion entropy

A magnetotelluric, multi-scale technology, applied to pattern recognition in signals, instrument, character and pattern recognition, etc., can solve problems such as data quality degradation, apparent resistivity-phase curve confusion, loss of low-frequency useful information processing efficiency, etc. To achieve the effect of avoiding efficiency problems

Active Publication Date: 2020-08-28
CENT SOUTH UNIV
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the above methods deal with MT noise signals, they often lose low-frequency useful information or have low processing efficiency, resulting in serious confusion in the apparent resistivity-phase curve, resulting in a serious reduction in data quality, and cannot provide effective and reliable data for subsequent electromagnetic inversion. Magnetotelluric sounding data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Magnetotelluric signal denoising method and system based on improved multi-scale dispersion entropy
  • Magnetotelluric signal denoising method and system based on improved multi-scale dispersion entropy
  • Magnetotelluric signal denoising method and system based on improved multi-scale dispersion entropy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention will be further described below in conjunction with examples.

[0053] like figure 1 As shown, an embodiment of the present invention provides a method for denoising magnetotelluric signals based on improved multi-scale spread entropy, including the following steps:

[0054] Step S1: Segment the original magnetotelluric signal, and then extract the improved multi-scale spread entropy of each segment of the magnetotelluric signal;

[0055] Among them, a piece of magnetotelluric signal is subjected to multi-scale coarse-graining processing under the scale factor τ to obtain the τ group of coarse-grained sequences, and then the mean value of the distribution pattern probability of the coarse-grained sequences under the scale factor τ is calculated, and combined with the definition of Shannon entropy and The mean of the scatter pattern probabilities results in an improved multiscale scatter entropy of the segment of the magnetotelluric signal.

[005...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a magnetotelluric signal denoising method and system based on improved multi-scale dispersion entropy, and the magnetotelluric signal denoising method comprises the steps: S1,segmenting a magnetotelluric signal, and respectively extracting the improved multi-scale dispersion entropy of each segment of magnetotelluric signal; S2, performing clustering analysis by utilizingthe improved multi-scale dispersion entropy of each segment of magnetotelluric signal to identify a strong interference signal segment and a low-frequency slow change signal segment; S3, carrying outdenoising on the strong interference signal segment; and S4, combining and splicing the denoised signal segment in the step S3 and the low-frequency slow change signal segment to obtain a reconstructed magnetotelluric signal. According to the magnetotelluric signal denoising method, high-quality magnetotelluric signals can be obtained, and the condition of magnetotelluric low-frequency data loss can be effectively avoided, and the targeted denoising effect is improved.

Description

technical field [0001] The invention belongs to the technical field of magnetotelluric signal processing, in particular to a method and system for denoising magnetotelluric signals based on improved multi-scale spread entropy. Background technique [0002] Magnetotelluric (MT) is an electromagnetic sounding method based on the principle of electromagnetic induction. It uses the observation of natural alternating electromagnetic fields with regional or even global distribution characteristics on the ground to study the electrical properties and distribution characteristics of underground rock formations. Since the natural field contains rich frequency components from high frequency to low frequency, and electromagnetic waves with different frequency components have different skin depths, the magnetotelluric method can achieve the purpose of sounding. However, compared with the active field, a natural alternating electromagnetic field as a field source has weaker signals and w...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F2218/08G06F2218/12G06F18/23
Inventor 张贤李帝铨李晋蒋奇云
Owner CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products