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Signal separating and denoising method and apparatus based on moving window function

A moving window function and signal separation technology, which is applied in the processing of detection response signals, analysis materials, instruments, etc., can solve the problems of complex calculation of blind signal separation technology, achieve obvious noise reduction effect, improve signal-to-noise ratio, and simple operation Effect

Active Publication Date: 2016-08-31
JINAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the blind signal separation technique requires specific assumptions and complicated calculations

Method used

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  • Signal separating and denoising method and apparatus based on moving window function
  • Signal separating and denoising method and apparatus based on moving window function
  • Signal separating and denoising method and apparatus based on moving window function

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Embodiment 1

[0051] Such as figure 1 as shown, figure 1 It is a flow chart of the signal separation and denoising method based on the moving window function, and the schematic diagram of the scanning principle is as follows: figure 2 As shown, the specific implementation process is as follows:

[0052] S1. Define the moving window function

[0053] Based on the actual response signal collected, the signal corresponding to each time i is a(i), and the window function is defined as: The mean value of its neighboring signals, to be precise, is the mean value of the signal of the same length on both sides of a(i), that is:

[0054] a ‾ ( i ) = 1 k Σ j = i - k / 2 j = i ...

Embodiment 2

[0085] Such as Figure 9 as shown, Figure 9 It is a structural block diagram of a signal separation and denoising device based on a moving window function, and the signal separation and denoising device based on a moving window function includes the following modules:

[0086] Moving window function module, used to define moving window functions The definition formula is as follows:

[0087] a ‾ ( i ) = 1 k Σ j = i - k / 2 j = i + k / 2 a ( i + j )

[0088] Wherein, a(i) is the actual response si...

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Abstract

The invention discloses a signal separating and denoising method and apparatus based on a moving window function. The method comprises the following steps: defining the moving window function, subjecting an actual response signal a(i) to FFT transformation and determinating frequency f corresponding to information of each component of the actual response signal; determining parameters of the moving window function; and successively scanning the actual response signal by using each moving window function determined by the above parameters and successively separating component information and noise of each frequency range. The signal separating and denoising method in the invention is signal separating technology based on the moving window function, can effectively separate the information of each component, carries out operations of high frequency elimination and low frequency retention on acquired signals and exerts good noise reduction effect on the signals; and the signal separating and denoising method is simple to operate and obvious in signal separating and noise reduction effect, improves the signal-noise ratio of the signals and effectively retains or separates information that a detector is interested in.

Description

technical field [0001] The invention relates to a signal separation and denoising method and device based on a moving window function, in particular to the separation and denoising of high and low frequency signals of response signals of bridge structures, and belongs to the technical field of nondestructive testing. Background technique [0002] In the field of bridge structural health monitoring and damage detection, the measured signal is a mixed superposition of multi-mode signals and noise. When performing structural health monitoring and damage identification, signal separation and denoising of the response signal are often required, that is, the response is decomposed into various modal response components and noise components. [0003] Among these component signals, usually only one or some components contain information of interest to the detector. Under this condition, it is an important topic to separate and denoise the signal containing multi-modal components to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/46
CPCG01N29/46G01N2291/023
Inventor 聂振华马宏伟武静
Owner JINAN UNIVERSITY