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

Early warning-oriented seismic signal sparse denoising method

A seismic signal, sparse technology, applied in seismic signal processing, seismology, geophysical measurement and other directions, can solve the problems of noise and signal frequency domain mismatch, seismic signal signal-to-noise ratio is not enough, to improve the filtering effect, improve reliability and so on. effect, reducing the chance of false positives

Active Publication Date: 2020-07-28
INST OF EARTHQUAKE CHINA EARTHQUAKE ADMINISTRATION +1
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Time-domain filtering is the most commonly used noise reduction method for seismic data. Generally, low-pass or band-pass filtering is used for time-domain filtering. However, the prerequisite for effective denoising is that the frequency domains of noise and signal do not coincide. Scenarios in which the frequency domains of noise and signal overlap in seismic signals
On the other hand, time-domain filtering is also ineffective for scenarios where the signal-to-noise ratio of seismic signals is too low and the noise is large

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
  • Early warning-oriented seismic signal sparse denoising method
  • Early warning-oriented seismic signal sparse denoising method
  • Early warning-oriented seismic signal sparse denoising method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0038] Such as figure 1 with figure 2 As shown, the present invention provides an early warning-oriented seismic signal sparse denoising method, comprising the following steps:

[0039] S101: Set a noise threshold according to the noise intensity in the seismic signal;

[0040] S102: respectively establish a noise reduction reconstruction model based on sparse representation of seismic signals and a noise reduction reconstruction model of seismi...

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 provides an early warning-oriented seismic signal sparse denoising method. The method comprises the steps of establishing a sparse representation-based noise reduction reconstruction model of a seismic signal and the compressed sensing-based noise reduction reconstruction model of the seismic signal; in the range of noise in different seismic signals, respectively applying a fixed transformation dictionary or a learning type adaptive dictionary, performing signal reconstruction through sparse representation by controlling sparsity and a residual error threshold value, and obtaining the seismic signals after noise reduction. According to the invention, noise interference in the seismic signals can be effectively filtered, the false alarm probability of the seismic signals is reduced, and the reliability of seismic early warning is improved.

Description

technical field [0001] The invention relates to the technical field of seismic signal detection and early warning, in particular to an early warning-oriented seismic signal sparse denoising method. Background technique [0002] Earthquakes are one of the natural disasters that seriously threaten the safety of human life and property, often causing serious building damage and casualties, and causing fires, floods, pipeline leaks, spread of bacteria and radioactive substances, landslides, tsunamis, collapses, and ground fissures and other secondary disasters. After a major earthquake occurs, a large amount of energy is released in a short period of time, causing devastating damage within tens of seconds or even a few seconds. With the development of global urbanization, cities have gradually become the centers of political, economic, cultural, and social activities. Moreover, cities have a large population density and many buildings. Sudden earthquakes have caused serious thr...

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): G01V1/28G01V1/36
CPCG01V1/282G01V1/364G01V2210/324
Inventor 陈志高夏界宁陈玉秀黄俊余子昂周立罗松杨厚丽李丹陈智慧
Owner INST OF EARTHQUAKE CHINA EARTHQUAKE ADMINISTRATION
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com