Performance Analysis of Sub-Band nLMS, APA and RLS in fMRI ANC with a Non-Minimum Phase Secondary Path

We present the performance comparison of sub-band FXLMS algorithm for fMRI acoustic noise cancellation when the secondary path is non-minimum phase. Three types of least square adaptive filtering methods (nLMS, APA, RLS) are used in sub-bands. A series of simulations have been done using recorded fMRI acoustic noise and the results are given and compared based on the noise attenuation level, convergence rate and the quality of primary path estimation. It is verified that the spectrum structure of the fMRI acoustic noise has the main role in the performance of the active noise control especially when sub-band filtering is used.