Support vector machine-based sound pressure extrapolation to overcome the finite aperture used in nearfield acoustic holography

Abstract

Abstract Sound pressure extrapolation based on support vector machine (SVM) is proposed in order to reduce the reconstruction error in Fourier-based nearfield acoustic holography (NAH) when the aperture is small compared to the source size. The measured pressure on the aperture is introduced into SVM and then a regression model is obtained to extrapolate the sound pressure outside the aperture. Numerical simulations show that the new method allows a relatively accurate and quick reconstruction in comparison with the results using zero-padding and linear predictive border-padding.