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Fluorescence spectrum data noise filtering method based on segmentation fitting data processing algorithm

A piecewise fitting and data processing technology, applied in electrical digital data processing, special data processing applications, fluorescence/phosphorescence, etc., can solve problems such as increasing errors, affecting spectrogram feature analysis, spectrogram jitter glitches, etc., to achieve improved The effect of measurement accuracy

Inactive Publication Date: 2015-12-09
TIANJIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] In spectral measurement, due to the influence of factors such as external interference and the noise of the instrument itself, the measured spectral data contains random noise to varying degrees, and the noise will cause the jitter and glitches of the spectrogram, which will affect the characteristics of the spectrogram analysis, increasing the error of subsequent analysis and detection

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  • Fluorescence spectrum data noise filtering method based on segmentation fitting data processing algorithm
  • Fluorescence spectrum data noise filtering method based on segmentation fitting data processing algorithm
  • Fluorescence spectrum data noise filtering method based on segmentation fitting data processing algorithm

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Embodiment Construction

[0023] The present invention will be described in more detail below with reference to the accompanying drawings.

[0024] This embodiment is a process smoothing processing method for spectral data. The idea of ​​the method is as follows:

[0025] The collected raw spectral data is assumed to be a discrete random signal. Due to the existence of random interference, the process of drawing the random signal is mostly jagged, indicating that the sampled data has the characteristics of a non-stationary random process. In order to eliminate or weaken the influence of interference, the original spectral data needs to be smoothed. The principle of smoothing is not only to eliminate the interference components in the data, but also to keep the original curve characteristics unchanged.

[0026] See attached figure 1 , the specific steps of the method described in this embodiment are as follows:

[0027] Steps to process the original measured spectral data: take the collected spectra...

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Abstract

The invention discloses a fluorescence spectrum data noise filtering method based on a segmentation fitting data processing algorithm. The segmentation fitting data processing algorithm is applied to data processing of fluorescence spectra, iterative operation is carried out many times when segmentation fitting is carried out on a spectrum curve, random disturbance in the spectrum data is filtered out, and the curve characteristic of the final spectrum curve is restored; the method comprises the following steps of actually measuring spectrum data; determining extreme points; dividing fitting regions according to monotone intervals; fitting the data in a segmented mode and filtering the data; outputting processed data. By the adoption of the spectrum data processed by the method, abnormal data caused by noise influence can be eliminated, the measurement precision of a spectrograph can be effectively improved, and the guarantee is provided for measurement and detection with the spectrum data as the basis.

Description

Technical field: [0001] The invention relates to a noise-reduction processing algorithm for fluorescence spectrum data, which can effectively filter out random interference in the spectrum data and improve the measuring precision of the instrument. Background technique: [0002] Spectral analysis, as the most common technical means in modern analysis and testing, can provide more comprehensive material characteristic information with a small sample loss, so it is widely used in metallurgy and mining, geology and geomorphology, industrial machinery, petrochemical industry, medical safety, health quality inspection have played an important role in these fields. [0003] In spectral measurement, due to external interference and the noise of the instrument itself, the measured spectral data contains random noise to varying degrees, which will cause the jitter and glitches of the spectrogram, and will affect the characteristics of the spectrogram analysis, increasing the error o...

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Application Information

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IPC IPC(8): G06F17/50G01N21/64
Inventor 孙杰吴海强郑龙洋
Owner TIANJIN UNIVERSITY OF TECHNOLOGY