Spectrum reconstruction method based on micro-nano structure optical filter modulation and sparse matrix transformation

A technology of micro-nano structure and sparse matrix, which is applied in the direction of color/spectral characteristic measurement, special data processing application, complex mathematical operation, etc., can solve the problem of low accuracy of reconstructed spectrum, achieve the goal of improving accuracy and reducing root mean square error Effect

Active Publication Date: 2021-08-31
XIDIAN UNIV
View PDF10 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since this method does not deal with the noise error, the obtained reconstructed spectrum will still be affected by the noise error, resulting in low accuracy of the reconstructed spectrum

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
  • Spectrum reconstruction method based on micro-nano structure optical filter modulation and sparse matrix transformation
  • Spectrum reconstruction method based on micro-nano structure optical filter modulation and sparse matrix transformation
  • Spectrum reconstruction method based on micro-nano structure optical filter modulation and sparse matrix transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:

[0037] refer to figure 1 , the present invention comprises the following steps:

[0038] Step 1) construct micro-nano structure filter array:

[0039] Build a filter array including M×N micro-nano structure filters; the micro-nano structure filter includes a substrate and a film layer covering the surface of the substrate, and the film layer is etched with circular nanoholes or rectangular nanometers. Hole as the center, and a nanohole array composed of a plurality of circular nanoholes or rectangular nanoholes distributed symmetrically around the central nanohole, in which the substrate is made of SiO2 glass material, and the film layer is made of metal material, metal oxide material and semiconductor material One of them; in this embodiment, M=10, N=5;

[0040] refer to figure 2 , the 50 micro-nano structure filters of the present embodi...

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 spectrum reconstruction method based on micro-nano structure optical filter array modulation and sparse matrix transformation. The method comprises the implementation steps: a micro-nano structure optical filter array is constructed; the transmission spectrum of each micro-nano structure optical filter is measured; discrete point sampling is carried out on the transmission spectrum of each micro-nano structure optical filter; the intensity of transmission light passing through each micro-nano structure optical filter is measured; a matrix equation is constructed; discrete cosine transform is carried out on the matrix equation; sparse transformation is carried out on the discrete cosine transformation matrix equation; and a spectrum reconstruction result is obtained. According to the method, the problem that in the prior art, the noise error is not processed, the obtained reconstructed spectrum is still influenced by the noise error is solved, meanwhile, the root-mean-square error of the reconstructed spectrum is effectively reduced, and simulation results show that the method effectively improves the precision of spectrum reconstruction.

Description

technical field [0001] The invention belongs to the technical field of optical information processing, and relates to a spectrum reconstruction method, in particular to a spectrum reconstruction method based on micro-nano structure filter array modulation and sparse matrix transformation, which can be used for spectrum analysis and spectrum measurement. Background technique [0002] The difference in the movement of electrons in the atoms of different substances causes the difference in their emitted light spectrum, so the spectrum can well reflect the nature of the substance itself, so the spectrum plays an important role in many fields of modern science. Spectrometer is the basic equipment for spectral analysis and spectral measurement, and it has a wide range of applications in material analysis, light source characteristic analysis and biosensing. At present, most of the existing spectrometers use prisms, gratings, or interferometers to split the light using light interf...

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): G01N21/25G06F17/14G06F17/16
CPCG01N21/25G06F17/147G06F17/16
Inventor 刘德连郭文豪叶云龙张建奇
Owner XIDIAN 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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap