Abstract:
Instantaneous frequency (IF) is a very important parameter in a large number of applications. Generally, the IF is a non-linear function of time. For such cases the analysis of time-frequency content provides an efficient solution. In this paper is analyzed the performance in IF estimation of the two timefrequency based methods. The first estimation method uses the complex argument distribution (CTD) and the second one uses the ridges extraction method from the time-frequency distribution based on mathematical morphology operators (TF-MO). Monocomponent signals with non-linear and highly non-linear IF corrupted by Gaussian white noise are considered as numerical examples.
