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

Method and System for Magnetotelluric Signal Denoising Based on Improved Multiscale Dispersion Entropy

A kind of magnetotelluric, multi-scale technology, applied in the recognition of patterns in signals, instruments, calculations, etc., can solve the problems of apparent resistivity-phase curve confusion, data quality degradation, loss of low-frequency useful information processing efficiency, etc., to improve the data quality, reducing computational bias, denoising targeted effects

Active Publication Date: 2022-05-27
CENT SOUTH UNIV
View PDF3 Cites 0 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
  • Method and System for Magnetotelluric Signal Denoising Based on Improved Multiscale Dispersion Entropy
  • Method and System for Magnetotelluric Signal Denoising Based on Improved Multiscale Dispersion Entropy
  • Method and System for Magnetotelluric Signal Denoising Based on Improved Multiscale Dispersion Entropy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention will be further described below with reference to the embodiments.

[0053] like figure 1 As shown, an embodiment of the present invention provides a method for denoising a magnetotelluric signal 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 scatter entropy of each segment of the magnetotelluric signal separately;

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

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 method and system for denoising magnetotelluric signals based on improved multi-scale dispersion entropy. The method includes: step S1: segmenting the magnetotelluric signal, and then extracting the improved multi-scale dispersion entropy of each segment of the magnetotelluric signal ; Step S2: Using the improved multi-scale dispersal entropy of each segment of the magnetotelluric signal to perform cluster analysis to identify the strong interference signal segment and the low-frequency slow-changing signal segment; Step S3: Denoise the strong interference signal segment; Step S4: Merging and splicing the denoised signal segment and the low-frequency slowly changing signal segment in step S3 to obtain the reconstructed magnetotelluric signal. The invention can obtain high-quality magnetotelluric signals, can effectively avoid loss of magnetotelluric low-frequency data, and improves the effect of targeted denoising.

Description

technical field [0001] The invention belongs to the technical field of magnetotelluric signal processing, and in particular relates to a method and system for denoising a magnetotelluric signal 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 studies the electrical properties and distribution characteristics of underground rock formations by observing the natural alternating electromagnetic field with regional and even global distribution characteristics on the ground. Since the natural field contains abundant 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 method using a natural alternating electromagnetic field as the field sourc...

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 Patents(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