Renyi entropy of quadratic time-frequency distributions: effects of signal’s parameters

The Renyi Entropy (E_R) of a time-frequency distribution (TFD) has been used for estimating the signal information content and the TFD complexity in the time-frequency (TF) plane. In this paper we provide an experimental comparison of the performance of E_R obtained from Wigner-Ville distribution (WVD), Spectrogram (SP), Choi-William Distribution (CWD), Born-Jordan Distribution (BJD) and Modified B Distribution (MBD). The performances are tested on two component Gabor logon and LFM signals with the goal of illustrating the effects on E_R obtained from different TFDs when signalpsilas TF parameters varies. The presented analysis shows that high-resolution TFDs, such as the MBD, result into consistent ER measures.