{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T22:49:41Z","timestamp":1648853381389},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T00:00:00Z","timestamp":1640131200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,22]]},"abstract":"<jats:p>We propose a symbol synchronization algorithm for high-speed data streams in IMDD-OOFDM system using a training sequence. Sampling point phase offset approximately sustains within \u00b1\u03c0\/32 and symbol synchronization deviation stabilizes within \u00b10.5 sampling point in a real-time system of 1.5Gsa\/s.<\/jats:p>","DOI":"10.3233\/faia210445","type":"book-chapter","created":{"date-parts":[[2021,12,29]],"date-time":"2021-12-29T10:35:32Z","timestamp":1640774132000},"source":"Crossref","is-referenced-by-count":0,"title":["Research and Implementation of High-Speed Data Streams Symbol Synchronization Algorithm Using Training Sequence in IMDD-OOFDM System"],"prefix":"10.3233","author":[{"given":"Dongsheng","family":"Zhang","sequence":"first","affiliation":[{"name":"Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Global Energy Internet Research Institute Co. LTD, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Wu","sequence":"additional","affiliation":[{"name":"State Grid Shanghai Electric Power Company, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunjie","family":"Xiao","sequence":"additional","affiliation":[{"name":"State Grid Shanghai Electric Power Company, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Liang","sequence":"additional","affiliation":[{"name":"State Grid Zhejiang Electric Power Co. LTD, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Lei","sequence":"additional","affiliation":[{"name":"Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huibin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Proceedings of CECNet 2021"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,29]],"date-time":"2021-12-29T10:35:33Z","timestamp":1640774133000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,22]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210445","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,22]]}}}