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A proposed High-Resolution Time-Frequency Distribution for the Analysis of Multicomponent and Speech Signals

Authors: D. Boutana, B. Barkat, F. Marir


In this paper, we propose a novel time-frequency distribution (TFD) for the analysis of multi-component signals. In particular, we use synthetic as well as real-life speech signals to prove the superiority of the proposed TFD in comparison to some existing ones. In the comparison, we consider the cross-terms suppression and the high energy concentration of the signal around its instantaneous frequency (IF).

Keywords: speech signal, Cohen's Class, Multicomponent signal, SeparableKernel, Time- frequency resolution

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