Research on Denoising Method for Improving Wavelet Threshold Function Based on Sparrow Optimization Algorithm
Xincheng Jin, Cunliang Yan · 2024
In order to reduce the impact of environmental noise on the detection of electrical energy signals, this paper proposes a denoising method based on the sparrow optimization algorithm to improve the wavelet threshold function. On the basis of the existing wavelet threshold function denoising, using the sparrow optimization algorithm to optimize the parameters of the wavelet threshold function for global optimization, optimize the threshold function curve, through the Matlab software on the simulated signal denoising experiments, before and after the denoising of the signal waveforms for comparison and the use of SNR, MSE and NCC to measure the denoising effect. After comparison after the experiment, it can be found that the wavelet denoising after improving the threshold function using the sparrow optimization algorithm has achieved better results.