Wavelet transform and variable-step-size LMS (least mean square) adaptive filtering based signal denoising method

An adaptive filtering and adaptive filter technology, applied in the field of signal noise reduction, can solve problems affecting the reliability of detection results, quantitative analysis and qualitative analysis accuracy

Active Publication Date: 2012-12-19
XIAN UNIV OF SCI & TECH
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Problems solved by technology

In summary, the above existing filtering methods have practical significance for improving the signal-to-noise ratio of electromagnetic signals, but they all have certain limitations, which affect the reliability of test results and the accuracy of defect location, quantitative and qualitative analysis and evaluation. sex

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  • Wavelet transform and variable-step-size LMS (least mean square) adaptive filtering based signal denoising method
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  • Wavelet transform and variable-step-size LMS (least mean square) adaptive filtering based signal denoising method

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Embodiment Construction

[0052] Such as figure 1 A signal denoising method based on wavelet transform and variable step size LMS adaptive filtering is shown, comprising the following steps:

[0053] Step 1. Signal receiving and synchronous storage: After the signal detected by the signal detection unit is collected by the data acquisition card 1 , it is synchronously transmitted to the data processor 2 . The data processor 2 synchronously stores the received signals into the data memory 3 according to the order of sampling, and obtains a sampling sequence X(k) correspondingly, where k=1, 2, 3...n, n is the sampling sequence X(k ) in the number of sampling points; the sampling sequence X(k) is a one-dimensional signal, and the sampling sequence X(k) includes signal sampling values ​​of n sampling points.

[0054] In this embodiment, after the data processor 2 receives the signal, the data processor 2 synchronously records the sampling time corresponding to each sampling point in the sampling sequence ...

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Abstract

The invention discloses a wavelet transform and variable-step-size LMS (least mean square) adaptive filtering based signal denoising method which comprises the following steps that: 1, signal receiving and synchronous storage: a data processor synchronously stores received signals into a data memory so as to obtain a sampling sequence X (k) which is a one-dimensional signal; 2, high-frequency signal extraction: the data processor carries out wavelet transform on the currently received one-dimensional signal X (k) and extracts high-frequency signals; and 3, LMS adaptive filtering: the data processor invokes the high-frequency signals extracted by an LMS adaptive filter to carry out LMS error calculation so as to obtain output signals subjected to filtering, and carries out adjustment on the parameters of the filter according to error signals, so that the output signals tend to interference signals. The method disclosed by the invention is simple in steps, reasonable in design, convenient to realize, and good in denoising effect; and the denoising process is performed through the combination of wavelet transform and variable-step-size LMS adaptive filtering, so that the filtering effect and the tracking speed are effectively increased.

Description

technical field [0001] The invention relates to a signal noise reduction method, in particular to a signal noise reduction method based on wavelet transform and variable step size LMS adaptive filtering. Background technique [0002] In the actual use process, due to the detected electromagnetic signal of the coal mine steel cord conveyor belt defect, it is mainly affected by the strong noise and electromagnetic interference of the coal mine working conditions and the operation of the equipment at the head of the belt conveyor. These noises have a wide frequency band and statistical characteristics. As the environment changes, the defect signal of electromagnetic detection is easily submerged by noise. Therefore, it is very important to reduce the noise of the collected electromagnetic signal to ensure the authenticity of the obtained defect signal. In summary, since the defect detection signal of steel cord conveyor belt in coal mine is interfered by broadband non-stationar...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00H03H17/02
Inventor 马宏伟毛清华张旭辉陈海瑜张大伟姜俊英
Owner XIAN UNIV OF SCI & TECH
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