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001 doab84443
003 oapen
005 20220621
006 m o d
007 cr|mn|---annan
008 220621s2022 xx |||||o ||| 0|eng d
020 |a 9783036541358 
020 |a 9783036541365 
020 |a books978-3-0365-4135-8 
024 7 |a 10.3390/books978-3-0365-4135-8  |2 doi 
040 |a oapen  |c oapen 
041 0 |a eng 
042 |a dc 
072 7 |a GP  |2 bicssc 
072 7 |a PH  |2 bicssc 
720 1 |a Zhao, Jian  |4 edt 
720 1 |a Du, Jiangbing  |4 edt 
720 1 |a Du, Jiangbing  |4 oth 
720 1 |a Liu, Jianguo  |4 edt 
720 1 |a Liu, Jianguo  |4 oth 
720 1 |a Yue, Yang  |4 edt 
720 1 |a Yue, Yang  |4 oth 
720 1 |a Zhao, Jian  |4 oth 
245 0 0 |a Advanced Technique and Future Perspective for Next Generation Optical Fiber Communications 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2022 
300 |a 1 online resource (134 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |f Unrestricted online access  |2 star 
520 |a Optical fiber communication industry has gained unprecedented opportunities and achieved rapid progress in recent years. However, with the increase of data transmission volume and the enhancement of transmission demand, the optical communication field still needs to be upgraded to better meet the challenges in the future development. Artificial intelligence technology in optical communication and optical network is still in its infancy, but the existing achievements show great application potential. In the future, with the further development of artificial intelligence technology, AI algorithms combining channel characteristics and physical properties will shine in optical communication. This reprint introduces some recent advances in optical fiber communication and optical network, and provides alternative directions for the development of the next generation optical fiber communication technology. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |u https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Physics  |2 bicssc 
650 7 |a Research & information: general  |2 bicssc 
653 |a artificial intelligence (AI) 
653 |a ASE noise 
653 |a blind recognition 
653 |a BPSK-SSB 
653 |a BPSK-VSB 
653 |a cancer cell recognition 
653 |a classification 
653 |a deep learning (DL) 
653 |a dispersion Fourier transform 
653 |a DWDM-FSO/PON optical fiber network 
653 |a Dynamic Bandwidth Allocation 
653 |a fiber 
653 |a fiber nonlinearities 
653 |a fiber transmission 
653 |a frame transmission 
653 |a FSOC system 
653 |a high-flux imaging 
653 |a Hough transform 
653 |a hybrid fiber FSO (HFFSO) link 
653 |a hybrid OOK/M-ary DPPM-M-PAPM 
653 |a ICC 
653 |a laser tuning time 
653 |a machine learning 
653 |a miniaturization 
653 |a n/a 
653 |a network analysis 
653 |a omnidirectional communication 
653 |a optical access networks 
653 |a optical communication 
653 |a optical communications 
653 |a optical neural networks 
653 |a passive optical networks 
653 |a patent analysis 
653 |a photon time stretching (PTS) 
653 |a scheduling 
653 |a synchronization word 
653 |a technical analysis 
653 |a time lens 
653 |a TWDM 
793 0 |a DOAB Library. 
856 4 0 |u https://directory.doabooks.org/handle/20.500.12854/84443  |7 0  |z Open Access: DOAB: description of the publication 
856 4 0 |u https://mdpi.com/books/pdfview/book/5426  |7 0  |z Open Access: DOAB, download the publication