{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:46:00Z","timestamp":1772041560249,"version":"3.50.1"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/icct46805.2019.8947053","type":"proceedings-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T00:42:22Z","timestamp":1578012142000},"page":"244-247","source":"Crossref","is-referenced-by-count":28,"title":["A Deep Learning Architecture for Broadband DOA Estimation"],"prefix":"10.1109","author":[{"given":"Wenli","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s18010253"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2673850"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS.2018.8689177"},{"key":"ref6","first-page":"210","article-title":"Broadband direction of arrival estimation based on virtual baseline transformation and RBFNN","volume":"2","author":"li","year":"2012","journal-title":"Journal of Astronautics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mmce.21282"},{"key":"ref5","first-page":"2118","article-title":"A broadband direction of arrival (DOA) estimation approach based on hierarchy neural networks","volume":"31","author":"zhang","year":"2009","journal-title":"Journal of Electronics & Information Technology"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2700390"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081237"},{"key":"ref9","article-title":"Broadband DOA estimation using Convolutional neural net-works trained with noise signals","author":"chakrabarty","year":"2017","journal-title":"IEEE Workshop on Applications of Signal Processing to Audio and Acoustics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2017.0086"}],"event":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","location":"Xi'an, China","start":{"date-parts":[[2019,10,16]]},"end":{"date-parts":[[2019,10,19]]}},"container-title":["2019 IEEE 19th International Conference on Communication Technology (ICCT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8943077\/8946993\/08947053.pdf?arnumber=8947053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:48:00Z","timestamp":1658094480000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8947053\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/icct46805.2019.8947053","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}