EEMD通过添加高斯白噪声并进行平均的方法,解决了EMD的模态混叠问题。但其会因为白噪声残留较大,导致筛分次数增加,以及分解失败,因而计算效率不高。针对以上问题,Torres等提出了一种噪声自适应完备总体平均经验模态分解(Complete EEMD with Adaptive Noise,CEEMDAN)方法。该方法特别适合ECG信号处理。
This book presents a comprehensive overview of the recently developed L1 adaptive control theory, including detailed proofs of the main results. The key feature of the L1 adaptive control theory is the decoupling of adaptation from robustness.