TY - GEN
T1 - Structure from sound with incomplete data
AU - Krekovic, Miranda
AU - Baechler, Gilles
AU - Dokmanic, Ivan
AU - Vetterli, Martin
N1 - Funding Information:
This work was supported by the Swiss National Science Foundation grant number 20FP-1 151073, “Inverse Problems regularized by Sparsity”. Ivan Dokmanic was supported by a Google Faculty Research Award.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/10
Y1 - 2018/9/10
N2 - In this paper, we consider the problem of jointly localizing a microphone array and identifying the direction of arrival of acoustic events. Under the assumption that the sources are in the far field, this problem can be formulated as a constrained low-rank matrix factorization with an unknown column offset. Our focus is on handling missing entries, particularly when the measurement matrix does not contain a single complete column. This case has not received attention in the literature and is not handled by existing algorithms, however it is prevalent in practice. We propose an iterative algorithm that works with pairwise differences between the measurements eliminating the dependence on the unknown offset. We demonstrate state-of-the-art performance both in terms of accuracy and versatility.
AB - In this paper, we consider the problem of jointly localizing a microphone array and identifying the direction of arrival of acoustic events. Under the assumption that the sources are in the far field, this problem can be formulated as a constrained low-rank matrix factorization with an unknown column offset. Our focus is on handling missing entries, particularly when the measurement matrix does not contain a single complete column. This case has not received attention in the literature and is not handled by existing algorithms, however it is prevalent in practice. We propose an iterative algorithm that works with pairwise differences between the measurements eliminating the dependence on the unknown offset. We demonstrate state-of-the-art performance both in terms of accuracy and versatility.
KW - Far field
KW - Low-rank matrix factorization
KW - Missing and uncertain data
KW - Node localization
KW - Sensor array self-calibration
UR - http://www.scopus.com/inward/record.url?scp=85054212272&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.2018.8462559
DO - 10.1109/ICASSP.2018.8462559
M3 - Conference contribution
AN - SCOPUS:85054212272
SN - 9781538646588
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3539
EP - 3543
BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Y2 - 15 April 2018 through 20 April 2018
ER -