@inProceedings{
 title = {Fast acoustic imaging with separable arrays},
 type = {inProceedings},
 year = {2015},
 keywords = {acoustic imaging,array processing,fast transform,sparse reconstruction},
 city = {Belo Horizonte, Brasil},
 id = {b281589e-11f8-3ff8-9420-9f16b5299926},
 created = {2015-05-29T13:02:12.000Z},
 file_attached = {false},
 profile_id = {770697da-79cc-3b5c-bf51-c6ff8cc1849a},
 last_modified = {2015-05-29T13:02:13.000Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Masiero2015},
 abstract = {We compare acoustic images obtained from actual measurements using a 49-microphone array with separable geometry. Images were obtained using four different algorithms: delay-and-sum beamforming (DAS), DAMAS2, and two regularized least-squares methods, the first using l1 regularization, the second using total variation (TV) regularization. All algorithms were accelerated using the Kronecker array transform (KAT), a method that is applicable for arrays whose microphones are positioned in a separable, possibly non-uniform grid. We also compare results obtained with and without microphone calibration, verifying the influence of correct calibration. The results show that regularized least-squares methods tend to provide the best results.},
 bibtype = {inProceedings},
 author = {Masiero, Bruno S. and Arroyo, César S. B. and Nascimento, Vítor H. and Ribeiro, Flávio P.},
 booktitle = {Proceedings of the 5th International Symposium on Solid Mechanics}
}

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