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Denoising method based on variable mode decomposition weighted reconstruction signal combined with wavelet threshold

A technology of wavelet threshold denoising and variable mode decomposition, which is applied in the field of signal denoising, can solve problems such as large errors and oscillations, and achieve the effects of improving effectiveness, good denoising performance, and increasing robustness

Pending Publication Date: 2021-06-18
QINGDAO UNIV OF SCI & TECH
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Problems solved by technology

The reconstructed signal obtained by the soft threshold method has better smoothness, but the error is relatively large; the reconstructed signal obtained by the hard threshold method has better approximation, but has the problem of additional oscillation

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  • Denoising method based on variable mode decomposition weighted reconstruction signal combined with wavelet threshold
  • Denoising method based on variable mode decomposition weighted reconstruction signal combined with wavelet threshold
  • Denoising method based on variable mode decomposition weighted reconstruction signal combined with wavelet threshold

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Embodiment 1

[0059] In signal modulation and demodulation, due to the influence of background noise in the channel environment, the effect of signal demodulation is not ideal. In order to eliminate the influence of background noise on the signal, it is necessary to effectively remove the background noise. There are some defects and deficiencies in the commonly used signal denoising methods at present. Among them, the EMD method itself has defects such as modal aliasing and poor anti-noise performance, so the distortion rate is relatively high. The denoising algorithm model based on wavelet transform is simple, hardly requires any prior information of the noisy signal, and wavelet transform has good time-frequency characteristics, so it has been valued by many scholars in the field of denoising. However, the two methods of wavelet denoising Each method has its own advantages and disadvantages. The reconstructed signal obtained by the soft threshold method has better smoothness, but the err...

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Abstract

The invention provides a denoising method based on a variable mode decomposition weighted reconstruction signal combined with a wavelet threshold. The method comprises the following steps: firstly decomposing a received signal into K intrinsic mode functions by using VMD, then calculating the relevancy between each intrinsic mode function and the received signal, after sorting the relevancy, selecting the first m intrinsic mode functions to weight a reconstructed signal, determining the weight of each IMF according to the relevancy, and finally performing secondary denoising on the reconstructed signal by using wavelet threshold denoising to obtain a final de-noised signal. According to the invention, the number of the intrinsic mode functions used during function reconstruction is determined through the relevancy, the accuracy of the algorithm is improved, effective reconstruction of the signals is achieved by increasing the weights in the signal reconstruction process, the signals are denoised through the wavelet threshold method, effective noise removal is achieved, and the final denoised signals are obtained.

Description

technical field [0001] The invention belongs to the technical field of signal denoising, and in particular relates to a denoising method based on variable mode decomposition weighted reconstruction signal combined with wavelet threshold. Background technique [0002] Signals are often polluted by noise in the process of acquisition, transmission and processing. This situation will lead to a decrease in signal quality, which will have a certain negative impact on the recovery and demodulation of the signal at the receiving end. In order to restore the source signal more efficiently and accurately, Before demodulating the signal at the receiving end, the signal is often preprocessed, including signal denoising, enhancement and other processes. The quality of the signal denoising process has a crucial impact on the signal demodulation. [0003] Commonly used signal denoising methods include empirical mode decomposition (empirical modal decomposition, EMD) denoising method, recu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/04
Inventor 黄子豪李爽权天祺秦华杉吴承安娇禄禄孙雅宁杨作骞王景景
Owner QINGDAO UNIV OF SCI & TECH
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