@article {ZHANG:2024:0736-2935:377, title = "Laplacian-enhanced non-synchronous measurements method", journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings", parent_itemid = "infobike://ince/incecp", publishercode ="ince", year = "2024", volume = "270", number = "11", publication date ="2024-10-04T00:00:00", pages = "377-386", itemtype = "ARTICLE", issn = "0736-2935", url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2024/00000270/00000011/art00041", doi = "doi:10.3397/IN_2024_2280", author = "ZHANG, Jiacheng and HU, Jiaxin and CHEN, Guitong and LIU, Xiaoang and SUN, Weize and LIU, Shiqi and CHEN, Long", abstract = "To address the challenges of physical geometric constraints of microphone arrays and the lack of a prior information about the operating frequencies of target signals, we propose a novel method for broadband multiple-sound-source localization: a non-synchronous measurements method for broadband multiple-sound-source localization based on Laplacian-enhanced low-rank tensor completion. Our method thoroughly analyzes the tensor data structure of broadband signals and introduces a multiplier-optimized alternating direction method. Through extensive simulation studies, our approach has achieved remarkable results. We validate the outstanding performance of the Laplacian-enhanced algorithm, demonstrating its ability to generate highly accurate sound maps, capturing five distinct speech signal sources. Compared to other methods, our approach provides a more comprehensive global view. This technological advancement brings substantial hope for the precise localization of multiple broadband sound sources in critical applications, offering significant potential for future applications.", }