A new VMD signal processing method combining AFSA optimization and wavelet denoising

In this paper, a method based on improved artificial fish swarm Algorithm (AFSA) to optimize variational mode decomposition (VMD) parameters and wavelet denoising is proposed to deal with noisy components. Firstly, the key parameters of VMD are optimized by AFSA to ensure that the decomposed modal function reflects the essential characteristics of the signal more accurately. Then, the decomposed signal components are analyzed, and the modal components containing noise are denoised by wavelet transform, so as to effectively remove noise interference and retain useful signal components, and is particularly appropriate for the examination and handling of intricate signals.