Abstract
This study proposes an acoustic holography method for sound field reconstruction based
on a point source model, which uses the Compressed Sensing (CS) framework to provide
a sparse solution. Sparsity implies that the sound field can be represented by a minimal
number of non-zero terms, point sources in the case of this model. Sparse solutions can
be achieved by l-1 norm minimization, providing accurate reconstruction and robustness
to noise, because favouring sparsity suppresses noisy components. The study addresses
the influence of the ill-conditioning of the propagation matrix, which can be a challenge
for inverse problems where the energy in the solution vector is much greater than the energy
in the observations (particularly in acoustic near-fields). Finally, the study examines
the case of spatially extended sources and problems where the sparsity condition is not
certainly guaranteed.
Original language | English |
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Title of host publication | Proceedings of inter.noise 2015 |
Number of pages | 10 |
Publication date | 2015 |
Publication status | Published - 2015 |
Event | 44th International Congress and Exposition on Noise Control Engineering - San Francisco , United States Duration: 9 Aug 2015 → 12 Aug 2015 Conference number: 44 |
Conference
Conference | 44th International Congress and Exposition on Noise Control Engineering |
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Number | 44 |
Country/Territory | United States |
City | San Francisco |
Period | 09/08/2015 → 12/08/2015 |