The use of a filter bank and the Wigner-Ville distribution for time-frequency representation

We present a new method for time-frequency representation, which combines a filter bank and the Wigner-Ville distribution (WVD). The filter bank decomposes a multicomponent signal into a number of single component signals before the WVD is applied, Cross-terms as well as noise are reduced significantly, whereas high time-frequency concentration is attained, Properties of the proposed time-frequency distribution (TFD) are investigated, and the requirements for the filter bank to fulfil these are given. The ability of the proposed non-Cohen's class TFD to reduce cross-terms as well as noise as well as its ability to approximately reconstruct signals are illustrated by examples. The results are compared with those from WVD, the Choi-Williams distribution (CWD), and spectrogram.