Wu, Honglin; Wang, Zhongbin; Si, Lei; Tan, Chao; Zou, Xiaoyu - 2022
Signal denoising is crucial in industry. However, it often faces frustration when the actual signal is non-stationary and nonlinear. To remove the noise effectively, this paper proposes a new denoising method. This paper first decomposes the original signal into the multiples limited bandwidth...