基于蜂群算法和新阈值函数的信号去噪算法.

Aiming at the problems of selecting the adjustment parameters in threshold and threshold function, this paper proposed a signal denoising method based on artificial bee optimization algorithm and new threshold function. Firstly, it carried out the theoretical analysis of the new threshold function to verify its continuity, high-order differentiability and parameter adjustability. Secondly, according to the minimum mean square error (MSE) strategy, it used the artificial bee colony optimization algorithm to optimize the thresholds and adjustment parameters of each decomposition layer, and then obtained the optimal denoised signal. Finally, it carried out the simulation experiment to verify the denoising effect according to the signal-to-noise ratio (SNR) and MSE. The experimental result shows that the threshold parameters selected by artificial bee optimization algorithm and the new wavelet threshold function can effectively denoise a noisy signal. [ABSTRACT FROM AUTHOR]