Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Wide band spectrum signal denoising method based on wavelet threshold difference

A wavelet threshold and wide-band technology, which is applied in the denoising field of wide-band spectral signals, can solve the problems of denoising and low sensitivity of ultraviolet response

Active Publication Date: 2019-06-14
WUHAN UNIV
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above-mentioned technical problems, the purpose of the present invention is to provide a wide-band spectral signal denoising method based on wavelet threshold difference, to solve the problem that the sensitivity of CCD to ultraviolet response is not high in a wide spectral range. noise denoising problem

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
  • Wide band spectrum signal denoising method based on wavelet threshold difference
  • Wide band spectrum signal denoising method based on wavelet threshold difference
  • Wide band spectrum signal denoising method based on wavelet threshold difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0062] Combine below Figure 1 to Figure 3 Introduce the embodiment of the present invention, specifically:

[0063] Step 1: Perform wavelet decomposition on the noisy spectral signal to obtain multi-layer wavelet coefficients;

[0064] The multi-layer wavelet coefficient obtained by performing wavelet decomposition on the noisy spectral signal as described in step 1 is:

[0065] Carry out wavelet decomposition on the noisy spectral signal f(t) (t=1,2,3,…,N, is the serial number of discrete time), select the wavelet base as db20, decompose according to the order of high frequency signal to low frequency signal as M layer wavelet coefficients, namely: D 1 ,D 2 ,...,D M ;

[0066]

[0067] The jth wavelet coefficient of the i layer is d i,j , the j-th approximate signal part of the i-th layer is denoted as c i,j , where i represents the number of layers of decomposition, i∈[1,M], j represents the jth coefficient of the i-th layer, j∈[1,N]; H(x) is the time-domain wavel...

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 a wide band spectrum signal denoising method based on wavelet threshold difference. Wavelet decomposition is carried out on spectral signals with noise to obtain multilayer wavelet coefficients; soft threshold denoising is carried out on the multilayer wavelet coefficients to obtain the denoised multilayer wavelet coefficients; a Hankel matrix is constructed by wavelet coefficients of each layer after denoising; a singular value matrix is constructed according to the Hankel matrix, and singular values are obtained by orthogonal decomposition of the singular value matrix;difference calculation is carried out on the singular values to construct a singular value difference spectrum; singular value difference denoising treatment is carried out on the singular value difference spectrum; the denoised singular value matrix is calculated in a reconstructing mode to obtain the denoised Hankel matrix so as to reduce to denoised wavelet coefficients; and the denoised wavelet coefficients are subjected to inverse wavelets transform through a Mallat algorithm to obtain denoised spectral signals. The wide band spectrum signal denoising method has complete denoising effect, effective spectral characteristics can be retained, and measurement precision and accuracy of a wide-band spectrometer are improved.

Description

technical field [0001] The present invention relates to the technical field of denoising methods for broadband spectral signals, in particular to a method for denoising broadband spectral signals based on wavelet threshold difference. Background technique [0002] There are two main problems in existing broadband micro-spectrometers. One is that there is a limited relationship between the spectral range and resolution, and it is difficult to obtain relatively uniform and high spectral resolution in a wider spectral range; the other is that the spectral range includes In the ultraviolet band region, due to the performance of the CCD detector, the sensitivity of the instrument's ultraviolet response is not high. Appropriate spectral data processing algorithms can effectively improve these two problems. [0003] The processing method of spectral data determines the accuracy of the output spectrum. The data processing process includes dark signal correction, spectral denoising...

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): G01J3/28
Inventor 胡明宇王先培赵浩程赵延峰张锴杨
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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