Analysis of multicomponent non-stationary signals by continuous wavelet transform method

A novel technique based on the continuous wavelet transform (CWT) and image processing is presented in this paper for analysis of a multicomponent non-stationary signal. The signal is modeled as a sum of components whose amplitudes and frequencies vary with time. The proposed method separates the component signals on the time-frequency plane, and analyzes each component independently. It is demonstrated that the method has several advantageous features, viz., it is simple in principle, it is easy to implement, and robust to noise. Simulation results with synthetic and natural signals are included to illustrate the proposed technique.