关键词: 经验模态分解, 固有模态函数, 特征提取, K－近邻分类

Abstract: A new feature extraction and selection method based on the energy entropy of intrinsic mode functions（IMF’s） is presented.Three types of noise signals radiated from the targets are decomposed into their respective IMF’s using the Empirical Mode Decomposition procedure，and the energy of the same IMF of three types of signals are different.The energy entropies of the IMF’s are calculated by Eq（5） or Eq（6）.K-neighbor classifier is used for classification experiments for three types of signals.The results show that the correct identification ratio of experiments based on esq.（6） is above 80%.

Key words: Empirical Mode Decomposition（EMD）, Intrinsic Mode Function（IMF）, feature extraction, K-neighbor classifier