Fitting-based nuclear magnetic resonance signal processing method

A nuclear magnetic resonance and signal processing technology, applied in the direction of analysis using nuclear magnetic resonance, etc., can solve problems such as the reliability of fitting results that cannot be optimized by the fitting algorithm

Inactive Publication Date: 2013-12-04
UNIV OF SHANGHAI FOR SCI & TECH
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiency that the existing nuclear magnetic resonance signal processing software cannot optimize the fitting algorithm and control the reliability of the fitting result, the present invention provides a linear fitting method of nuclear magnet

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
  • Fitting-based nuclear magnetic resonance signal processing method
  • Fitting-based nuclear magnetic resonance signal processing method
  • Fitting-based nuclear magnetic resonance signal processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0024] figure 1 It is a flowchart of the NMR signal processing method.

[0025] Such as figure 1 The flow of the nuclear magnetic resonance signal processing method 100 shown includes: first collecting magnetic resonance data 101, removing gross errors 102 from the collected data, and then removing abnormal points and large influence points 103 on the data from which gross errors have been removed. Afterwards, a significance test 104 is performed, and finally a standard curve fitting 105 is performed.

[0026] figure 2 It is a flow chart of removing coarse errors 102 of the NMR signal processing method.

[0027] Such as figure 2 As shown, the collected nuclear magnetic resonance data are processed to remove the coarse error 102, firstly carry out the screening of the Dixon criterion 201, and then enter the high and low segment abnormal value higher than the critical value judgment 202 module, if it is higher than or lower than the critical value value, remove X(i) 203 a...

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 nuclear magnetic resonance signal processing method. The method is characterized by comprising the following steps: collecting nuclear magnetic resonance signal data; calculating the ratio of extreme difference between a maximum sampling value and a minimum sampling value of the collected nuclear magnetic resonance data, and screening gross error data and rejecting the gross error data; calculating the nuclear magnetic resonance data by using studentized residual, and recognizing abnormal points in the nuclear magnetic resonance data according to a critical value of an absolute value of the studentized residual; measuring impact of the abnormal points through a statistic method to determine the choice of the abnormal points; further checking the linear fitting quality of the data through checking of related coefficients, signification checking of a regression equation and checking of residual standard difference, and performing linear fitting on the nuclear magnetic resonance data of which the gross error data and the abnormal points are rejected to obtain a final standard calibration straight line. The nuclear magnetic resonance signal processing method can perform linear fitting on the collected nuclear magnetic resonance data quickly, efficiently, reliably and accurately.

Description

technical field [0001] The invention relates to a standard scale straight line fitting method of nuclear magnetic resonance signals, which can be used to quickly determine the content of unknown samples. Background technique [0002] NMR detection technology has been used in various fields, such as environmental monitoring and analysis quality control, determination of free radical content in coal, determination of equivalent water content, oil content of seeds, etc. Taking the determination of the oil content of seeds as an example, the traditional Soxhlet extraction method to determine the oil content of seeds is time-consuming and laborious, the efficiency is low, and the seeds need to be destroyed, which is not conducive to the breeding of excellent varieties. Compared with the Soxhlet extraction method, the nuclear magnetic resonance instrument can quickly detect the oil content in the seeds, and has the advantages of safety, non-toxicity, easy operation, and no damage ...

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): G01N24/08
Inventor 刘颖章浩伟曹佳佶
Owner UNIV OF SHANGHAI FOR SCI & TECH
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