计算机科学
小波
算法
人工智能
模式识别(心理学)
小波变换
小波包分解
离散小波变换
信号(编程语言)
平稳小波变换
信号处理
盲信号分离
连续小波变换
独立成分分析
作者
Hongyi Li,Wei Lin,Di Zhao
标识
DOI:10.1007/s11063-021-10621-8
摘要
In recent years, the number of electrical and electronic devices used in production and life has been increasing. It leads to serious interference and aliasing among electromagnetic signals. To address electromagnetic interference (EMI) issues, we propose a feasible blind source separation method based on wavelet transform and improved equivariant adaptive separation via independence (EASI) algorithm. First, we leverage the wavelet transform algorithm to denoise mixed electromagnetic signals. Second, we use the variable step-size EASI algorithm to separate each signal from the mixed signals. It is inspired by the simulated annealing strategy. We conduct a series of experiments to demonstrate the effectiveness of WE method. The experimental results show that WE method can provide support for solving EMI problems.
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