Comparison between the equalization and cancellation model and state of the art beamforming techniques
Abstract
This paper investigates the performance of a selection of state-of-the-art array signal-processing techniques for the purpose of predicting the binaural listening experiments from the equalization and cancellation (EC) paper by Durlach written in 1963. Two different array signal-processing techniques are analyzed, 1) filter and sum beamforming (FS), and 2) minimum variance distortionless response (MVDR) beamforming. The theoretical properties of these beamformers for the specific situation of prediction of binaural masking level differences are analyzed in conjunction with the EC model. Also, the performance of the different beamformers on the data sets in the Durlach paper from 1963 is compared to the EC model.
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