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Method and system for improving Gaussian signal analysis accuracy

A signal analysis and accuracy technology, applied in the field of signal processing, which can solve the problems of the number of iterations error, reduce the difficulty of analysis, and difficult to establish the linear relationship of the system.

Pending Publication Date: 2021-06-22
四川新先达测控技术有限公司
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The signals obtained in actual experiments and measurements are often Gaussian-like signals with overlapping peaks. Since the peaks are close to each other, they will cause mutual influence, which will cause obstacles to the subsequent analysis and calculation of the signal, such as spectral line analysis. However, if the Gaussian-like signal can be deconvoluted into an impact signal, each signal can be independent of each other, and there will be almost no mutual influence between the signals, which greatly reduces the difficulty of analysis. If someone tries to use Gaussian in nuclear energy spectrum processing The response matrix realizes the deconvolution of the energy spectrum signal through an iterative method, but because the number of iterations is related to the error of the setting, the linear relationship between the obtained result and the original system is not easy to establish

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  • Method and system for improving Gaussian signal analysis accuracy

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Embodiment 1

[0095] Such as Figure 8 As shown, the Fe-55 X-ray energy spectrum obtained in the actual experiment is a Gaussian signal. In order to facilitate its further analysis and calculation, the present invention can be used to deconvolve it (K=50,20,10) as Shock signal.

[0096] First, the original signal is input into the preprocessing module, and the S-K digital filter (k=20, a=1.05) is used to filter and denoise it, and then the signal is further processed by the deconvolution module, specifically, When the signal is input into the deconvolution module, it will first be processed by the forward R-C inverse transform unit and the reverse R-C inverse transform unit, and then processed by the difference unit and the absolute value unit in turn; after three times of deconvolution After the processing of the product module, such as Figure 8 As shown, the original signal can be transformed into a shock signal (the shock signal is located above the peak of the Gaussian-like signal). ...

Embodiment 2

[0098] Such as Figure 9 As shown, the Fe-55 X-ray energy spectrum obtained in the actual experiment is a Gaussian signal. In order to facilitate its further analysis and calculation, the present invention can be used to deconvolve it (K=20,10,10) as Shock signal.

[0099] First, the original signal is input into the preprocessing module, and the S-K digital filter (k=20, a=1.05) is used to filter and denoise it, and then the signal is further processed by the deconvolution module, specifically, When the signal is input into the deconvolution module, it will first be processed by the forward R-C inverse transform unit and the reverse R-C inverse transform unit, and then processed by the difference unit and the absolute value unit in turn; after three times of deconvolution After the processing of the product module, such as Figure 9 As shown, the original signal can be transformed into a shock signal (the shock signal is located above the peak of the Gaussian-like signal). ...

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Abstract

The invention discloses a method and a system for improving Gaussian signal analysis accuracy. In the invention, the method for improving the Gaussian signal analysis accuracy comprises the following steps: S1, processing a Gaussian signal by adopting forward R-C inverse transformation and reverse R-C inverse transformation; s2, carrying out difference processing on the signal obtained in the S1; and S3, carrying out absolute value processing on the signal obtained in the S2. The invention further comprises a system for improving Gaussian signal analysis accuracy; the system comprises a preprocessing module and three deconvolution modules, the deconvolution modules are in cascade connection, and when an original signal is input into the system, the original signal is processed by the preprocessing module firstly and then processed by the three deconvolution modules. According to the invention, the Gaussian signal can be deconvolved into the impact signal, so that the experimental data can be conveniently analyzed and researched; in the actual situation, due to the influence of noise, preprocessing needs to be carried out before deconvolution is carried out on the signals.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method and system for improving the analysis accuracy of Gaussian signals. Background technique [0002] Various data will be obtained during the experiment. After obtaining the data, various experimental data need to be processed for subsequent research. In the signal processing of nuclear radiation detectors, the Gaussian function signal has always been one of the goals we pursue. In the nuclear energy spectrum In data processing, the Gaussian function signal is even more standard distribution. The actual measured energy spectrum data is a Gaussian-like signal. In the process of analyzing and researching such a Gaussian-like signal, it is necessary to use effective methods to process the signal. [0003] The inventor found during actual use that these prior art at least have the following technical problems: [0004] The signals obtained in actual expe...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F17/10G01T1/36
CPCG06F17/10G01T1/36G06F2218/02G06F2218/04
Inventor 周建斌喻杰
Owner 四川新先达测控技术有限公司