对用Matlab软件仿真的非平稳信号，进行经验模态分解，进而分析非平稳信号特征。-Simulation using Matlab software on a non-stationary signals, empirical mode decomposition, and then analyzes characteristics of non-stationary signal.

对非线性，非平稳信号进行处理的方法，即经验模态分解方法，处理效果好-The non-linear, non-stationary signal processing method, the empirical mode decomposition method, the treatment effect is good

对非平稳信号进行模态分解为瞬时频率有实际意义的多个分量，进而用希尔伯特得到个分量的瞬时频谱，测试有效(The modal decomposition of non-stationary signals is effective)

用vc编写的关于模态和非模态的实例,对学习模态和非模态(Using vc to write about the modal and modeless instance, modal and non-modal in learning)

自适应白噪声的完整经验模态分解，在信号处理领域有强大的分解能力，是改进的HHT的一种方法，适合对非线性、非平稳信号进行分解。(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise It has powerful decomposition ability in the field of signal processing which is an improved method of HHT It is sui