The reconstruction of the sound field provided by the statistically optimal near-field acoustical holography(SONAH) from pressure measurements fulfilled near a sound source is an ill-posed inverse problem because of the existence of the noise signals.

We also describe the near-field holography theory concisely and highly accurate identification of sound source location and the distinction of neighboring sound sources through the experiment.

The BEM-based near-field holography(NAH) was applied to reconstruct surface normal velocity of arbitrarily-shaped objects.

Algorithm and experimental investigation of patch nearfield acoustic holography based on wave superposition approach;

However due to the wraparound error associated with fast Fourier transform(FFT) ,the accuracy of separation technique based on FFT is not satisfactory and a novel separation method based on the statistically optimized nearfield acoustic holography is proposed to improve the separation.

A new method based on interpolation using orthogonal spherical wave source was proposed to enhance the resolution of the nearfield acoustic holography image without adding measurement points.

The cyclostationary near field acoustic holography (CYNAH) technique is proposed for cyclostationary sound fields in previous papers.

The study state of NAH(near field acoustic holography)was introduced.