IF estimation using empirical mode decomposition and nonlinear Teager energy operator

In this paper, a method based on the empirical mode decomposition (EMD) algorithm and Teager energy operator (TEO) is proposed to estimate the instantaneous frequency (IF) of a signal embedded in noise. IF is used to describe a signal's frequency that varies with time. Both EMD and TEO deal with non-stationary signals. The signal is first band pass filtered into subsignals (components) called intrinsic mode functions (IMFs) with well defined IF. Each IMF is a zero-mean AM-FM component. Then TEO tracks the modulation energy of each IMF and estimates the corresponding IF. In order to show the effectiveness of the proposed method, results of IF estimation of noisy AM-FM signals are proposed.