Method and apparatus for stone localization using ultrasound imaging

Rose, Freeman H.; McGregor, Charles D.; Mathur, Prabodh

doi:10.1121/1.400786

Cited by 1 publication

(1 citation statement)

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“…The valuable piece information can be exploited in multiple contexts and applications: tracking of sound sources [1,2,3], robotics [4,5,6], seismic imaging [7,8] and medical imaging [9,10]. In speech and sound enhancement, a source position estimate can be used to perform noise reduction, by means of beamforming techniques [11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

Joint estimation of sound source location and boundary impedance with physics-driven cosparse regularization

Bertin

Kitić

Gribonval

2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Indoor acoustic source localization can be efficiently performed by modeling the sound propagation in the room, and by solving the arising inverse problem by means of cosparse regularization and convex optimization techniques. However, previous methods relying on this approach used to assume the knowledge of a number of room characteristics: its geometry, the walls' absorption or reflexion properties, as well as the speed of sound. In this paper, we show that this model, and the corresponding algorithms, can be extended to the case where the specific acoustic impedance of the boundary is unknown. The proposed method allows to jointly estimate the boundary impedances and the sound pressure in the room, without any preliminary calibration phase, from the only knowledge of the room geometry. Validated on simulation, this new algorithm constitutes a important step towards practical applicability of sound field cosparse modeling.

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