Processing time-varying signals by a new method

The concept of an empirical mode decomposition method with which any complicated data set can be decomposed into a finite and often small number of intrinsic mode functions (IMF) is introduced. This method is used for time-varying signal analysis and provide a better joint time-frequency resolution than other methods like the STFT, wavelet and the Wigner-Ville distribution. Then we bring forward a new principle of the local wave method and the expression of the intrinsic mode function. We also introduce our new signal decomposition method called local mean mode decomposition (LMMD) which can provide better data mean and results