Digital signal processing method for eliminating glitch interference signals

A digital signal processing and interference signal technology, applied in the field of signal noise reduction, can solve the problems of signal waveform phase difference, useful information loss in time domain waveform, etc.

Pending Publication Date: 2021-02-05
CHENGDU KAITIAN ELECTRONICS
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  • Claims
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Problems solved by technology

Since the processing result of the mean value filter will produce a phase difference of the signal waveform to a certain extent, it may not only cause the loss of useful information in the time domain waveform, but also introduce new interference information.
For serial processing methods such as mean filtering and wavelet analysis, the signal phase difference generated by mean filtering will also be transmitted serially, so there is still a phase difference between the noise-reduced signal and the original signal

Method used

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  • Digital signal processing method for eliminating glitch interference signals
  • Digital signal processing method for eliminating glitch interference signals
  • Digital signal processing method for eliminating glitch interference signals

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Embodiment 1

[0034] This embodiment proposes a digital signal processing method for eliminating burr interference signals, such as figure 1 , figure 2 As shown, firstly, the original signal f(t) is generated through wavelet noise reduction and mean value filtering to generate the amplitude modulation wave z(t), and then the amplitude modulation wave z(t) is used to perform amplitude modulation with the original signal f(t), Obtain the signal F(t) after eliminating the glitch interference.

[0035] In order to better realize the present invention, further, the specific operation of the wavelet noise reduction is: perform three-layer analysis on an original signal f(t) containing N data points to obtain a three-layer analysis signal, and select the three-layer analysis Extract the single hierarchical analysis signal with the best signal-to-noise ratio in the signal, and name it as the analysis signal x; according to the principle of wavelet analysis, the analysis signal x is a one-dimensio...

Embodiment 2

[0054] This embodiment is on the basis of above-mentioned embodiment 1, as image 3 , Figure 4 , Figure 5 , Image 6 , Figure 7 as shown, image 3 Shown is a waveform diagram of the original signal. according to figure 2 As shown in the signal processing flow, first the original signal is processed in Step 1: sub-step A performs wavelet analysis on the original signal, and the results are shown in Figure 4 shown. Figure 4 It is shown that the signal-to-noise ratio of layer a1 is the best, so the signal data of layer a1 is selected for the processing of sub-step B, in which the value of the operation step n of each mean value operation is 80, and the obtained results are as follows Figure 5 as shown, Figure 5 It shows that the glitch signal has been suppressed obviously. Figure 5 After the signal shown is processed by sub-step C, a standardized signal with all data values ​​falling in the interval [0,1] is obtained, such as Image 6 shown. according to fig...

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Abstract

The invention discloses a digital signal processing method for eliminating glitch interference signals, and the method comprises the steps: sequentially carrying out the wavelet analysis, mean filtering and standardization of an original signal, and enabling an obtained result signal to serve as a modulation wave. And then the modulated wave is used for amplitude modulation of an original signal,amplitude modulation not only effectively suppresses the amplitude of a glitch interference signal in the original signal, but also does not generate a phase difference, so that the phase of the signal after noise reduction is consistent with that of the original signal. The noise reduction effect of the method not only gives full play to the good effect of mean filtering in the aspect of eliminating glitch signals, but also avoids the direct transmission of waveform phase difference generated by mean filtering, so that the phase of the denoised signal is consistent with that of the original signal. Therefore, the method has no phase difference between the denoised signal and the original signal.

Description

technical field [0001] The invention belongs to the technical field of signal noise reduction, and in particular relates to a digital signal processing method for eliminating burr interference signals. Background technique [0002] With the continuous development of modern testing technology, there are more and more engineering applications using vibration sensors to monitor the condition of industrial equipment and engineering facilities. In these engineering applications, it is necessary to process and analyze the output signal of the vibration sensor according to a certain purpose, so as to accurately obtain the state information of industrial equipment and engineering facilities. Due to factors such as environmental conditions and defects in test circuit electronic components, vibration test signals often contain interference signals, and a typical interference signal is a glitch interference signal. [0003] For a single glitch interference signal, its time-domain wave...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/06G06F2218/02
Inventor 金城王瑞琪江永泽余快
Owner CHENGDU KAITIAN ELECTRONICS
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