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A Stable Phantom Material for Optical and Acoustic Imaging

A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

Sound field separation with a double layer velocity transducer array (L).

Efren Fernandez-Grande¹, Finn Jacobsen

¹Acoustic Technology, Department of Electrical Engineering, DTU Technical University of Denmark, Building 352, Oersteds Plads, DK-2800 Kongens Lyngby, Denmark. efg@elektro.dtu.dk

The Journal of the Acoustical Society of America

|July 27, 2011

Summary

This summary is machine-generated.

Near-field acoustic holography uses sound field separation to isolate sound sources. A novel double layer velocity method effectively recovers source particle velocity despite interfering sound fields.

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Area of Science:

Acoustics
Signal Processing
Near-field Acoustic Holography

Background:

Sound field separation is crucial in near-field acoustic holography for distinguishing sources on different sides of an array.
Existing methods face challenges with complex sound fields, including reflections and multiple sources.

Purpose of the Study:

To examine a sound field separation technique using particle velocity measurements in two parallel planes.
To recover the particle velocity of a specific source amidst interfering sound from the opposite side.

Main Methods:

Measurement of particle velocity in two closely spaced parallel planes.
Comparison with direct velocity-based reconstruction and pressure-velocity based reconstruction.
Evaluation of the double layer velocity method's performance.

Main Results:

The double layer velocity method successfully recovers the normal velocity radiated by a source.
This technique is effective even in the presence of strong disturbing sound from other directions.
The method circumvents drawbacks associated with pressure-velocity based reconstruction.

Conclusions:

The double layer velocity method offers a robust solution for sound source separation in near-field acoustic holography.
This technique enhances the ability to isolate and analyze individual sound sources in complex acoustic environments.
It provides a valuable advancement for applications requiring precise sound field analysis.