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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.contributor.advisorLau, Pak Tao Alan (EEE)en_US
dc.creatorXu, Chuang-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/14357-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleDigital signal processing for discrete nonlinear frequency division multiplexing transmissionen_US
dcterms.abstractNonlinear Frequency Division Multiplexing (NFDM) has attracted significant attention as a potential solution to overcome fiber nonlinearity in optical communication systems. Despite its theoretical elegance, the practical implementation of dual-polarization (DP) discrete NFDM has been hindered by the lack of a complete digital signal processing (DSP) framework—particularly one that eliminates the need for training sequences and operates entirely within the nonlinear Fourier domain. This thesis presents two key advancements to address these limitations. Both are developed analytically and validated through numerical simulations as well as experimental demonstrations.en_US
dcterms.abstractFirst, the half back rotation algorithm is proposed as a simple yet effective equalization method for discrete NFDM systems. This algorithm restores the simplicity inherent to NFDM theory, eliminates the need for training sequences, and is shown to be optimal in performance. The theoretical analysis also provides an alternative proof of the Gordon-Haus effect in the language of NFT, and extends it to a phase-domain counterpart.en_US
dcterms.abstractSecond, a blind polarization demultiplexing algorithm is developed specifically for discrete NFDM signals, enabling the realization of a full DSP flow for DP discrete NFDM systems. The DSP flow operates entirely in the nonlinear frequency domain and integrates the half back rotation algorithm with other standard DSP techniques.en_US
dcterms.abstractFurthermore, based on the refined noise model that accounts for both transfer noise and direct noise, the optimal symbol rate that minimizes the overall noise variance of a discrete NFDM system is identified. This finding offers a possible explanation for the historically low information rates observed in discrete NFDM systems.en_US
dcterms.extentxviii, 125 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2026en_US
dcterms.educationalLevelPh.D.en_US
dcterms.educationalLevelAll Doctorateen_US
dcterms.LCSHSignal processing -- Digital techniquesen_US
dcterms.LCSHMultiplexingen_US
dcterms.LCSHOptical communicationsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsopen accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/14357