摘要

The masking signal technique provides a way to improve the empirical mode decomposition (EMD) method, which can decompose signals adaptively. In this paper, dyadic masking signals whose frequency is only determined by the first masking signal are first designed. Then, the algorithm of EMD improved by dyadic masking signals termed as EMD-DMS is proposed. The experimental results obtained by using white Gaussian noise and real-world signals are presented to demonstrate the effectiveness of the EMD-DMS algorithm.

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