A multi-dimensional ensemble empirical mode decomposition (MEEMD) for multi dimensional data (such as images or solid with variable density) is proposed here. The decomposition is based on the applications of ensemble empirical mode decomposition

针对谐波检测问题，比较几种常用谐波检测方法，总结出各自的适用条件。结合经验模态分解理论和总体平均经验模态分解(empirical mode decomposition，EEMD)算法，提出基于EEMD的谐波检测方法。-For harmonic detection problem, comparing several common harmonic detection method, summed up their applicable conditions. Combining theoreti