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

The Renyi Entropy (ER) 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 ER 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 ER 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