Instantaneous parameter estimation based on continuous wavelet transform and some improvements

A novel method based on the phase information of continuous wavelet transform to estimate the instantaneous parameter of an AM-FM signal is introduced, and some strategies, including the determination of initial value in the iteration and post-processing to the estimated results, to improve the performance of the algorithm are proposed. Compared to several other instantaneous parameter estimators, such as CDF, Teager-Kaiser energy operator, and some TFR-based estimators, the proposed method has the advantages of noise resistance and accuracy by exploiting the time-scale localization of the wavelet transform. Simulation results testify that the proposed strategies improve the performance of the CWT based iteration algorithm greatly, and the method has excellent performance including robustness and accuracy in noisy conditions