The Even Mirror Fourier (EMF) filter is the universal approximation for nonlinear systems, which has been used in active noise control (ANC) applications, especially in scenarios where ANC contains strong nonlinearity. However, the computational burden can impede its implementation in practice. To mitigate this disadvantage, an improved pipelined EMF (IPEMF) filter has been developed and applied for the nonlinear ANC systems, in this paper. The proposed architecture uses simple small-scale EMF modules (i.e., fewer coefficients) nested in a pipelined fashion to replace the complex EMF structure, and hence has got a computational advantage. Moreover, the modules of the IPEMF are designed to update the synaptic weight vector independently, and the output of IPEMF is simplified by the sum of the local estimates of the modules. As a consequence, the nonlinear processing capability is considerably improved and the filtered-error algorithm deduced for the IPEMF controller is less complicated. Simulation results show that the proposed IPEMF controller significantly reduces the computational complexity compared to EMF, while still maintaining control performance is as equivalent as EMF and better than the pipelined EMF (PEMF), pipelined Volterra filter (PVF).