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Demonstration of LDPC-coded PS-64QAM OFDM employing novel bit-class distribution matching in a W-band RoF system
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作者 Haitao Zhao Bangning Xu +5 位作者 Wei Xun Jianxin Ren Shuaidong Chen Long Zhang Li Zhao Bo Liu 《Chinese Optics Letters》 SCIE EI CAS CSCD 2024年第8期35-40,共6页
In this work,we proposed and experimentally demonstrated a novel probabilistic shaping(PS)64-ary quadrature amplitude modulation(QAM)orthogonal frequency division multiplexing(OFDM)with low-density parity-check(LDPC)-... In this work,we proposed and experimentally demonstrated a novel probabilistic shaping(PS)64-ary quadrature amplitude modulation(QAM)orthogonal frequency division multiplexing(OFDM)with low-density parity-check(LDPC)-coded modulation in a W-band radio-over-fiber(RoF)system using envelope detection.The proposed PS scheme has the advantages of no complex multiplication and division operations and low hardware implementation complexity.In our experiments,the two-stage bit weight distribution matching-based PS-64QAM OFDM signals with a rate of 28.13 Gb/s transmission over 4 m wireless+45-km standard single-mode fiber transmission can be achieved.The system performance is investigated under one LDPC code rate(3/4)and two PS parameter values(k=3 and 9).The experimental results show that the receiver power sensitivity and the system fiber nonlinear effect tolerance can be significantly improved compared with uniformly distributed OFDM signals. 展开更多
关键词 probabilistic shaping two-stage bit weight distribution matching orthogonal frequency division multiplexing W-BAND radio-over-fiber system
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Outboard abnormal noise source localization method with curved surface projection based on time delay matching and weighting criterion
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作者 YU Wenjing HE Lin +2 位作者 CUI Lilin XU Rongwu LI Ruibiao 《Chinese Journal of Acoustics》 CSCD 2018年第4期448-462,共15页
An improved localization method consisting of "filtering-time delay estimationhyperbolic localization" is proposed. Combining the empirical mode decomposition(EMD)and time delay estimation method based on generali... An improved localization method consisting of "filtering-time delay estimationhyperbolic localization" is proposed. Combining the empirical mode decomposition(EMD)and time delay estimation method based on generalized average magnitude difference function,the original signals are decomposed into intrinsic mode function(IMF) components. The energy distribution criterion and spectrum consistency criterion are used to select the IMFs, which can represent the physical characteristics of the source signal. Several sets of signals are applied to estimate the time delay, and then a vector matching criterion is proposed to select the correct time delay estimation. Considering the hydrophones location, a shell model is established and projected to a plane according to the quadrant before the hyperbolic localization. Results of mooring and sailing tests show that the proposed method improves the localization accuracy,and reduces the error caused by time delay estimation. 展开更多
关键词 Outboard abnormal noise source localization method with curved surface projection based on time delay matching and weighting criterion
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Throughput Optimization for Multi-UA V-Assisted Offshore Internet of Things:A Hypergraph Approach
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作者 Shuang Qi Bin Lin +4 位作者 Xu Hu Chaoyue Zhang Luyao Zheng Liping Qian Yuan Wu 《Tsinghua Science and Technology》 2025年第6期2452-2466,共15页
The rapid growth of marine applications leads to a significant increase in Maritime Devices(MDs).Traditional shore-based maritime communication networks face limitations,such as overloaded and transmission distance to... The rapid growth of marine applications leads to a significant increase in Maritime Devices(MDs).Traditional shore-based maritime communication networks face limitations,such as overloaded and transmission distance to provide network services for MDs.Unmanned Aerial Vehicles(UAVs)act as relays that can expand coverage and enhance the quality of service for offshore communication networks.We consider a multi-UAV-assisted Offshore Internet of Things(mUAV-OIoT),and formulate a throughput maximization problem by jointly optimizing channel allocation,Leader MD(LMD)selection,UAV-LMD association,and LMD-MD association.Firstly,we propose the Hypergraph-based Two-Stage Matching(HTSM)algorithm where a Hypergraph-based LMD Selection(HLMDS)strategy is employed to identify the set of LMDs.Secondly,the Kuhn-Munkres algorithm is used to optimize the UAV-LMD association and a Weighted Threedimensional Hypergraph Matching(WTHM)algorithm is designed to solve the LMD-MD association and channel allocation.Numerical results show that the HTSM algorithm outperforms benchmark algorithms regarding throughput. 展开更多
关键词 multi-UAV-assisted Offshore Internet of Things(mUAV-OIoT) HYPERGRAPH throughput maximization Hypergraph-based LMD Selection(HLMDS)strategy weighted Three-dimensional Hypergraph matching(WTHM)algorithm
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Comparative performance analysis of stroke correspondence search methods for stroke-order free online multi-stroke character recognition 被引量:2
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作者 Wenjie CA1 Seiichi UCHIDA Hiroaki SAKOE 《Frontiers of Computer Science》 SCIE EI CSCD 2014年第5期773-784,共12页
For stroke-order free online multi-stroke charac- ter recognition, stroke-to-stroke correspondence search be- tween an input pattern and a reference pattern plays an im- portant role to deal with the stroke-order vari... For stroke-order free online multi-stroke charac- ter recognition, stroke-to-stroke correspondence search be- tween an input pattern and a reference pattern plays an im- portant role to deal with the stroke-order variation. Although various methods of stroke correspondence have been pro- posed, no comparative study for clarifying the relative su- periority of those methods has been done before. In this pa- per, we firstly review the approaches for solving the stroke- order variation problem. Then, five representative methods of stroke correspondence proposed by different groups, includ- ing cube search (CS), bipartite weighted matching (BWM), individual correspondence decision (ICD), stable marriage (SM), and deviation-expansion model (DE), are experimen- tally compared, mainly in regard of recognition accuracy and efficiency. The experimental results on an online Kanji char- acter dataset, showed that 99.17%, 99.17%, 96.37%, 98.54%, and 96.59% were attained by CS, BWM, ICD, SM, and DE, respectively as their recognition rates. Extensive discussions are made on their relative superiorities and practicalities. 展开更多
关键词 cube search bipartite weighted matching indi-vidual correspondence decision stable marriage deviation-expansion model
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