TY - GEN
T1 - Acoustic Imaging by the Non-Synchronous Measurements with Perfect Overlapping
AU - Liu, Huimin
AU - Yu, Liang
AU - Chu, Ning
AU - Yang, Weihua
AU - Mohammad-Djafari, Ali
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The conventional approaches to source reconstruction follow the fundamental limitation of the aperture of the array and the microphone density owing to expenditure and technical reasons, which aroused the problem of reducing the number of microphones. Nevertheless, one rudimental problem is simultaneously raised when the problem of reducing the number of microphones is conceived, which is explicated by what is the minimum number of microphones that should be used for the purpose of certificating the reconstruction performance. In this paper, the acoustic source reconstruction is viewed with a statistical learning perspective firstly, which brings in the minimum number of microphones in simultaneous measurements setup. Secondly, the problem of reducing the number of microphones is boiled down to rank minimisation in sequential measurements, which eludes the 'overweening sparse' phenomenon caused by the $L0$ minimisation in the acoustic source reconstruction scenario with the reduced number of microphones.
AB - The conventional approaches to source reconstruction follow the fundamental limitation of the aperture of the array and the microphone density owing to expenditure and technical reasons, which aroused the problem of reducing the number of microphones. Nevertheless, one rudimental problem is simultaneously raised when the problem of reducing the number of microphones is conceived, which is explicated by what is the minimum number of microphones that should be used for the purpose of certificating the reconstruction performance. In this paper, the acoustic source reconstruction is viewed with a statistical learning perspective firstly, which brings in the minimum number of microphones in simultaneous measurements setup. Secondly, the problem of reducing the number of microphones is boiled down to rank minimisation in sequential measurements, which eludes the 'overweening sparse' phenomenon caused by the $L0$ minimisation in the acoustic source reconstruction scenario with the reduced number of microphones.
KW - Acoustic Source Reconstruction
KW - Rank Minimization
KW - Reduced Number of Microphones
UR - http://www.scopus.com/inward/record.url?scp=85184831123&partnerID=8YFLogxK
U2 - 10.1109/ICICSP59554.2023.10390787
DO - 10.1109/ICICSP59554.2023.10390787
M3 - 会议稿件
AN - SCOPUS:85184831123
T3 - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
SP - 942
EP - 946
BT - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
Y2 - 23 September 2023 through 25 September 2023
ER -