A new ANC system based on ensemble empirical mode decomposition

In order to obtain a better de-noising performance of mixture noise containing both wideband components and narrowband components, a new active noise control (ANC) system based on ensemble empirical mode decomposition (EEMD) is proposed in this paper. Real-time EEMD algorithm is used to decompose the mixture noise into several intrinsic mode functions (IMF) which have a different frequency range each other, so this decomposition can separate wideband components and narrowband components from the mixture noise adaptively. Each component controlled independently can not only process mixture noise without "firework", but also avoid the frequency mismatch occurring in conventional hybrid ANC (HANC) system. The EEMD algorithm can smooth the mixture noise to make sure the proposed system has better stability when non-stationary phenomenon happens in mixture noise. Compared with HANC system, the proposed ANC system has better system stability and smaller steady-state error in processing different noise.