Abstract
Wigner-Ville distribution (WVD) is a common time-frequency representation (TRF). However, its application has been limited due to the presence of cross-term interference. Empirical Mode Decomposition (EMD) is an iterative process where envelopes and their means are used to break down a data vector into components (IMFs). In order to minimize the cross-term Interference in WVD, a method based On EMD and Cohen's class distribution was advanced. In the method, at first, the time-domain signal is separated into multiple intrinsic mode functions using empirical mode decomposition, then the Cohen's class distributions of the intrinsic mode functions are calculated. At last a sum of all Cohen's class distributions is acquired. The algorithm is testified through a simulation signal. The result is consistent with the theory. It indicates that the algorithm is accurate.
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