非平稳信号的去噪技术研究

Research on Nonstationary Signal Denoising Technology

本文研究了小波分析、经验模态分解和变分模态分解技术在非平稳信号去噪技术的应用情况,理论分析和仿真结果表明这几种方法处理非线性、非平稳信号有效。相比而言变模式分解技术在处理非平稳信号的去噪效果和性能最好。因此该方法具有重要的理论研究价值和广阔的应用前景。

This paper studied the application of wavelet analysis, empirical mode decomposition and variable modal decomposition technology in non-stationary signal denoising technology. Theoretical analysis and simulation results show that these methods deal with nonlinear and non-stationary signals effectively. Compared to the variable modal decomposition technology is the best denoising effect and performance of non-stationary signals. Therefore, VMD has important theoretical research value and broad application prospect.