In this paper a frequency domain multipoint equalization algorithm, which combines fractional octave smoothing of measured impulse responses (IRs) in multiple locations and the extraction of a representative prototype, is presented. The proposed approach is evaluated considering different methods to combine the IRs for the prototype extraction, and to obtain the inverse filter for equalization, using sets of impulse responses measured in realistic environments. With respect to previous works, the influence on the equalization performance of the number of considered positions and of the equalization zone size is deeply investigated. Also a comparison with the single point equalization approach is reported. Finally, the multipoint equalization robustness is evaluated also on positions different from those used for the equalizer estimation.
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