The time-frequency R�©nyi entropy provides a measure of complexity of a nonstationary multicomponent signal in\r\nthe time-frequency plane. When the complexity of a signal corresponds to the number of its components, then\r\nthis information is measured as the R�©nyi entropy of the time-frequency distribution (TFD) of the signal. This article\r\npresents a solution to the problem of detecting the number of components that are present in short-time interval\r\nof the signal TFD, using the short-term R�©nyi entropy. The method is automatic and it does not require a prior\r\ninformation about the signal. The algorithm is applied on both synthetic and real data, using a quadratic separable\r\nkernel TFD. The results confirm that the short-term R�©nyi entropy can be an effective tool for estimating the local\r\nnumber of components present in the signal. The key aspect of selecting a suitable TFD is also discussed.
Loading....