The method uses the ridges extraction
method from the time-frequency distribution based on
mathematical morphology operators (TF-MO). The TFMO method for signals with highly non-linear IF
corrupted by Gaussian white noise is not very adapted
for IF estimation. In this paper is presented a new
improved technique for IF estimation based on TF-MO
method.
