【摘要】 经验模式分解和小波分解是当前有效处理非平稳信号的两种时频分析方法,它们各具优缺点,适用于不同的领域。模拟信号突变性检测、趋势检测和频率检测的对比实验表明:在突变检测方面,小波分解优于经验模式分解;但经验模式分解在低频信号检测及趋势检测方面优于小波分解。更多还原

【Abstract】 Empirical mode decomposition (EMD) and wavelet decomposition (WD) are two new time-frequency analytic methods used to analyze the non-stationary signal. Each of these two analytic methods holds its characteristics in non-stationary signal processing. A contrast experiment among simulated experiments of signal mutation, signal trend extraction and frequency detection demonstrated that WD was better than EMD in signal mutation detection, while EMD was better than WD in low frequency signal detection and signal trend extraction.更多还原