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

Array signal random noise adaptive model denoising method

An adaptive model and random noise technology, applied in the field of seismic exploration data processing, achieves the effects of algorithm convergence, strong denoising ability, and simple method

Active Publication Date: 2012-12-12
恒泰艾普集团股份有限公司
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The invention discloses an adaptive model denoising method for random noise of array signals, which adopts an adaptive method to estimate the signal model instead of using complex calculations to obtain prediction operators, greatly improves calculation efficiency, and effectively avoids insufficient length of prediction operators Or strong noise causes the prediction operator to be distorted, which affects the denoising effect and does not preserve the amplitude. The denoising method is simple, the denoising effect is good, and the amplitude fidelity is good.

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
  • Array signal random noise adaptive model denoising method
  • Array signal random noise adaptive model denoising method
  • Array signal random noise adaptive model denoising method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0035] A random noise adaptive model denoising method for an array signal, comprising the following steps:

[0036] 1) Time window division: Set the seismic data processing range and determine the time window division scheme. The time window division refers to dividing the original seismic records containing random noise into one or more time windows corresponding to different time periods;

[0037] 2) Calculate the frequency spectrum of all seismic traces in the time window: in a certain time window, perform Fourier transform on the data of all seismic traces in the selected time window, and transform the data of all seismic traces from the time-space domain to the frequency In the space domain, the frequency spectrum of each seismic trace is obtained;

[0038] 3) Adaptively estimate the signal models of all seismic traces: in the frequency...

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 an array signal random noise adaptive model denoising method. According to the array signal random noise adaptive model denoising method, a signal model is estimated by adopting an adaptive mode, and a prediction operator is not solved by complicated calculation, so that the calculation efficiency is greatly improved, the problems of influenced denoising effect and poor amplitude fidelity due to prediction operator distortion caused by insufficient prediction operator length or strong noise can be avoided, the denoising method is simple, the denoising effect is good, and the amplitude fidelity is good. The method comprises the following steps of: 1) firstly carrying out time window partition according to the seismic data processing range; 2) calculating the frequency spectrum of each seismic channel of a time window in the frequency space domain; 3) adapting to signal models of all the seismic channels in the frequency space domain; and 4) in the frequency space domain, comparing the actual amplitude value of each frequency in a specified range of each seismic channel with the amplitude value of the corresponding frequency of the signal model of the seismic channel, and carrying out noise amplitude pressing.

Description

technical field [0001] The invention relates to the technical field of seismic exploration data processing, in particular to a method for denoising a random noise adaptive model of an array signal. Background technique [0002] General signal processing is concerned with time domain signals, while array signal processing is concerned with time and space domain signals. Array signal processing is one of the important research contents of modern signal processing, and it is also a current research hotspot. It has a wide range of applications and can be used in many fields such as radar, sonar, navigation, communication, radio astronomy, medical diagnosis and seismic exploration. Array signal processing is to form a sensor array by arranging a group of sensors at different positions in space according to certain rules, using the sensor array to transmit energy and / or receive spatial signals, and obtain the observation data of the signal source and process it. The purpose of ar...

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
IPC IPC(8): G01V1/36
Inventor 谢桂生孙庚文周青春田迎春
Owner 恒泰艾普集团股份有限公司
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