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基于改进Multi-ResUnet算法的黏结集料图像分割方法 被引量:1
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作者 郝雪丽 李玉峰 +3 位作者 裴莉莉 李伟 石丽 曹磊 《同济大学学报(自然科学版)》 EI CAS CSCD 北大核心 2022年第5期741-749,共9页
为提高黏结集料图像的分割精度,提出了基于Inception网络与残差连接优化的黏结集料图像分割模型(Multi-ResUnet模型)。利用实验室自主研发的集料三维特性分析系统V3.0对黏结集料图像进行采集,并建立图像分割模型样本集,然后采用图像分... 为提高黏结集料图像的分割精度,提出了基于Inception网络与残差连接优化的黏结集料图像分割模型(Multi-ResUnet模型)。利用实验室自主研发的集料三维特性分析系统V3.0对黏结集料图像进行采集,并建立图像分割模型样本集,然后采用图像分割模型对样本集进行训练。结果表明:相较于分水岭算法和Unet模型,该图像分割模型的精确率分别提升了30.46%和2.11%,召回率分别提升了4.68%和1.85%,准确率分别提升了25.95%和2.47%。 展开更多
关键词 沥青混合料 黏结集料图像分割 multi-resUnet模型 分水岭算法
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5-22 Design and Optimization of a Multi-re Time-of-flight Mass Analyzer for LPT
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作者 Tian Yulin Wang Yongsheng +1 位作者 Wang Junying Huang Wenxue 《IMP & HIRFL Annual Report》 2015年第1期245-246,共2页
Multi-reflection time-of-flight mass spectrometer (MR-TOF-MS) is one of the new experimental devices developed in recent years. As the flight path extended several orders of magnitude as the analyzer is traversed many... Multi-reflection time-of-flight mass spectrometer (MR-TOF-MS) is one of the new experimental devices developed in recent years. As the flight path extended several orders of magnitude as the analyzer is traversed many times by the ions, it allows achieving higher mass resolving power than the conventional time-of-flight mass spectrometry. 展开更多
关键词 multi-re TIME-OF-FLIGHT MASS
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Realizing high-speed target tracking by using multi-rate feedforward predictive control for the acquisition, tracking, and pointing system
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作者 Hang Li Gaoliang Peng +4 位作者 Xiaobiao Shan Mingyuan Zhao Wei Zhang Jinghan Wang Feng Cheng 《Defence Technology(防务技术)》 2025年第7期137-151,共15页
The acquisition,tracking,and pointing(ATP)system is widely used in target tracking,counter-UAV operations,and other related fields.As UAV technology develops,there is a growing demand to enhance the tracking capabilit... The acquisition,tracking,and pointing(ATP)system is widely used in target tracking,counter-UAV operations,and other related fields.As UAV technology develops,there is a growing demand to enhance the tracking capabilities of ATP systems.However,in practical applications,ATP systems face various design constraints and functional limitations,making it infeasible to indefinitely improve hardware performance to meet tracking requirements.As a result,tracking algorithms are required to execute increasingly complex tasks.This study introduces a multi-rate feedforward predictive controller to address issues such as low image feedback frequency and significant delays in ATP systems,which lead to tracking jitter,poor tracking performance,low precision,and target loss.At the same time,the pro-posed approach aims to improve the tracking capabilities of ATP systems for high-speed and highly maneuverable targets under conditions of low sampling feedback rates and high feedback delays.The method suggested is also characterized by its low order,fast response,and robustness to model parameter variations.In this study,an actual ATP system is built for target tracking test,and the proposed algorithm is fully validated in terms of simulation and actual system application verification.Results from both simulations and experiments demonstrate that the method effectively compensates for delays and low sampling rates.For targets with relative angular velocities ranging from 0 to 90°/s and angular accelerations between 0 and 470°/s^(2),the system improved tracking accuracy by 70.0%-89.9%at a sampling frequency of 50 Hz and a delay of 30 m s.Moreover,the compensation algorithm demonstrated consistent performance across actuators with varying characteristics,further confirming its robustness to model insensitivity.In summary,the proposed algorithm considerably enhances the tracking accuracy and capability of ATP systems for high-speed and highly maneuverable targets,reducing the probability of target loss from high speed.This approach offers a practical solution for future multi-target tracking across diverse operational scenarios. 展开更多
关键词 multi-rate systems Predictive feedforward control Target tracking Laser weapon
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Consistent fusion for distributed multi-rate multi-sensor linear systems with unknown correlated measurement noises
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作者 Peng WANG Hongbing JI +1 位作者 Yongquan ZHANG Zhigang ZHU 《Chinese Journal of Aeronautics》 2025年第7期389-407,共19页
This study investigates a consistent fusion algorithm for distributed multi-rate multi-sensor systems operating in feedback-memory configurations, where each sensor's sampling period is uniform and an integer mult... This study investigates a consistent fusion algorithm for distributed multi-rate multi-sensor systems operating in feedback-memory configurations, where each sensor's sampling period is uniform and an integer multiple of the state update period. The focus is on scenarios where the correlations among Measurement Noises(MNs) from different sensors are unknown. Firstly, a non-augmented local estimator that applies to sampling cases is designed to provide unbiased Local Estimates(LEs) at the fusion points. Subsequently, a measurement-equivalent approach is then developed to parameterize the correlation structure between LEs and reformulate LEs into a unified form, thereby constraining the correlations arising from MNs to an admissible range. Simultaneously, a family of upper bounds on the joint error covariance matrix of LEs is derived based on the constrained correlations, avoiding the need to calculate the exact error cross-covariance matrix of LEs. Finally, a sequential fusion estimator is proposed in the sense of Weighted Minimum Mean Square Error(WMMSE), and it is proven to be unbiased, consistent, and more accurate than the well-known covariance intersection method. Simulation results illustrate the effectiveness of the proposed algorithm by highlighting improvements in consistency and accuracy. 展开更多
关键词 Distributed multi-rate multisensor system Sensor data fusion Correlated measurement noise Equivalent measurement Consistent method
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基于盲源分离的Multi-Rate DS/CDMA信号扩频序列盲估计 被引量:5
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作者 任啸天 徐晖 +2 位作者 黄知涛 王丰华 陆凤波 《航空学报》 EI CAS CSCD 北大核心 2012年第8期1455-1465,共11页
通过分析Multi-Rate DS/CDMA信号特性,建立的Multi-Rate DS/CDMA系统模型与线性混合的盲源分离模型一致,针对异、同步信号的不同特性,提出不同循环分段降维方法:对异步系统而言,采用2倍扩频周期为间隔对接收信号进行分割,利用Fast-ICA... 通过分析Multi-Rate DS/CDMA信号特性,建立的Multi-Rate DS/CDMA系统模型与线性混合的盲源分离模型一致,针对异、同步信号的不同特性,提出不同循环分段降维方法:对异步系统而言,采用2倍扩频周期为间隔对接收信号进行分割,利用Fast-ICA算法盲估计同一扩频周期用户的扩频序列,基于矢量2范数基础上估计各用户失步时间,并依此截取得到各用户的实际扩频序列,然后,循环至次大扩频周期进行盲估计,同时根据估计波形相似度归一化衡量函数消除最大周期分段序列,求解次大周期用户扩频序列,直至循环结束。对同步系统则以单倍最大扩频周期为间隔对接收信号进行分割,然后进行盲估计及降维处理。理论分析和仿真结果验证了本文方法的有效性。 展开更多
关键词 变增益 multi-rATE DS/CDMA信号 扩频序列盲估计 盲源分离 非合作通信
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基于多维预测的多目标跟踪算法
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作者 钟志峰 严诗玛 +2 位作者 易晓婕 孙玉坤 张智浩 《计算机工程与设计》 北大核心 2026年第1期46-54,共9页
针对多目标跟踪领域的经典算法DeepSORT跟踪效率低以及目标ID产生错误切换的问题,提出一种基于多维预测的多目标跟踪算法MP-DeepSORT。在该算法中,加权融合了卡尔曼滤波、LSTM、GM和ARIMA这4种预测模型,以获取更准确的目标位置预测数据... 针对多目标跟踪领域的经典算法DeepSORT跟踪效率低以及目标ID产生错误切换的问题,提出一种基于多维预测的多目标跟踪算法MP-DeepSORT。在该算法中,加权融合了卡尔曼滤波、LSTM、GM和ARIMA这4种预测模型,以获取更准确的目标位置预测数据进行关联匹配。同时,引入卷积块注意力模块(CBAM)对重识别网络OSnet进行改进,形成OS_Cnet用于替换DeepSORT算法内置的外观特征提取网络。实验结果表明,该算法相较于原始算法,MOTA指标提高2.7%,IDsw指标降低13.3%。通过数据和可视化展示,在视频流跟踪的准确性上有明显提升,目标ID产生错误切换问题上有明显改善。 展开更多
关键词 多目标跟踪 特征提取 重识别 卡尔纳曼滤波 长短期记忆模型 灰色模型 自回归差分滑动平均模型
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基于局部特征重识别的多台臂动施工机械工效分析方法
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作者 卢昱杰 钟利剑 +1 位作者 魏伟 王硕 《建筑科学与工程学报》 北大核心 2026年第1期14-27,共14页
为克服现有基于视觉的机械工效分析方法在应用于臂动施工机械时易受遮挡影响而跟踪中断的问题,从而实现长时间、智能的施工机械工效分析,提出一种基于局部特征重识别的多台臂动施工机械工效分析方法。该方法利用卷积神经网络提取臂动施... 为克服现有基于视觉的机械工效分析方法在应用于臂动施工机械时易受遮挡影响而跟踪中断的问题,从而实现长时间、智能的施工机械工效分析,提出一种基于局部特征重识别的多台臂动施工机械工效分析方法。该方法利用卷积神经网络提取臂动施工机械的局部外观特征,将其用于身份匹配与目标重识别,可有效纠正因遮挡导致的多目标身份误判错误,在多目标跟踪的基础上,进一步应用活动识别算法实现了目标活动统计与工效分析。以上海某施工项目为研究案例,对其施工现场的挖掘机进行了跟踪和工效分析。结果表明:采用该方法的机械重识别与稳定跟踪(视频时间25 min)结果较为精确,机械工效分析精度达到96.74%;该研究为施工领域的多机械目标重识别提供研究范式,为基于视觉方法的复杂场景机械工效智能分析提供实践参考。 展开更多
关键词 多目标重识别 局部特征匹配 多目标跟踪 机械工效分析 施工设备管理
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基于人体部位信息辅助的行人重识别方法
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作者 赵炳涛 张继 +1 位作者 储开斌 王洪元 《计算机科学与探索》 北大核心 2026年第3期865-877,共13页
遮挡问题是行人重识别领域的关键挑战,尤其在复杂背景、多视角和动态场景下,容易导致行人特征信息缺失,严重影响模型的判别能力。针对上述挑战,在全尺度网络(OSNet)基础上,提出一种融合人体部位信息的多尺度行人重识别模型,以提升网络... 遮挡问题是行人重识别领域的关键挑战,尤其在复杂背景、多视角和动态场景下,容易导致行人特征信息缺失,严重影响模型的判别能力。针对上述挑战,在全尺度网络(OSNet)基础上,提出一种融合人体部位信息的多尺度行人重识别模型,以提升网络在遮挡场景下的识别精度。该模型在特征提取阶段引入多尺度混合注意力残差块,结合CBAM与EMA注意力机制对不同尺度的特征进行动态加权,增强关键区域的表示能力;在特征匹配阶段,引入人体部位注意力模块与全局-局部特征学习模块,对行人图像中的可见人体部位进行检测、评分及动态加权融合,有效规避被遮挡区域对匹配结果的干扰。在三个有遮挡的公开数据集Occluded_Duke、Occluded_REID与P-DukeMTMCreID上对所提方法进行了系统评估。在Occluded_Duke数据集上,改进模型的mAP提升20.5个百分点,Rank-1提升22.2个百分点;在其余两个数据集上,mAP和Rank-1指标也分别达到70.1%、78.2%与81.3%、91.0%,显著优于原始模型。实验结果充分验证了所提方法在遮挡场景下的有效性与先进性,为复杂场景下的行人重识别任务提供了一种有效的解决方案,具有重要的应用价值。 展开更多
关键词 行人重识别 多尺度混合注意力残差块 人体部位注意力模块 动态加权融合
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一种对抗雾天的双分支车辆重识别算法
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作者 王州 王旭智 +1 位作者 万旺根 范睿 《计算机仿真》 2026年第1期441-445,共5页
随着智能交通系统对全天候车辆监控需求的增长,车辆重识别领域涌现出很多先进模型,但现有模型多针对清晰气候设计,在雾天环境下的准确性大幅下降。为此,结合图像去雾和车辆重识别任务,提出一种对抗雾天环境的双分支车辆重识别算法。针... 随着智能交通系统对全天候车辆监控需求的增长,车辆重识别领域涌现出很多先进模型,但现有模型多针对清晰气候设计,在雾天环境下的准确性大幅下降。为此,结合图像去雾和车辆重识别任务,提出一种对抗雾天环境的双分支车辆重识别算法。针对雾天导致的图像模糊与细节丢失问题,使用特征感受野更丰富的Swin Transformer替换经典车辆重识别算法的骨干网络。为避免算力需求高的去雾网络影响算法效率,采用联合学习模式,以去雾网络的反向传播作为共同约束,引导车辆重识别网络对雾的影响脱敏。在FVRID数据集上的实验验证了所提算法的有效性。 展开更多
关键词 车辆重识别 图像去雾 联合学习 特征提取
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结核分枝杆菌编码基因重注释研究进展
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作者 马媛 姜松昊 +2 位作者 常蕾 张瑶 徐平 《生物工程学报》 北大核心 2026年第2期597-610,共14页
结核分枝杆菌(Mycobacterium tuberculosis,Mtb)是结核病(tuberculosis,TB)的主要致病菌,其基因组精确注释对TB的研究至关重要。全球已有大量Mtb全基因组测序及注释数据在NCBI网站上公开。自从Mtb标准菌株H37Rv完成首次全基因组测序以来... 结核分枝杆菌(Mycobacterium tuberculosis,Mtb)是结核病(tuberculosis,TB)的主要致病菌,其基因组精确注释对TB的研究至关重要。全球已有大量Mtb全基因组测序及注释数据在NCBI网站上公开。自从Mtb标准菌株H37Rv完成首次全基因组测序以来,注释体系不断优化,但现有注释仍然存在显著问题,例如不同研究机构间的基因数量和翻译起始位点标注存在较大的差异。随着高通量测序技术的发展,多组学技术如基因组学、转录组学、翻译组学和蛋白质组学等,为Mtb基因组的重注释提供了新的技术路径。本文系统总结了H37Rv菌株的重注释工作,包括基因N/C端矫正、基因结构修正、测序数据校正以及遗漏基因补充,不仅将为Mtb临床分离株的基因组分析提供重要参考,也为深入解析其致病机制和开发新型防控策略奠定坚实基础。 展开更多
关键词 结核分枝杆菌 结核病 重注释 多组学
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融合空频信息的多粒度师生网络无监督行人重识别
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作者 陈玉敏 车进 杨莹莹 《计算机工程》 北大核心 2026年第1期217-227,共11页
无监督行人重识别旨在挖掘无标注数据的判别性表示用于行人检索任务。基于伪标签进行训练的无监督行人重识别方法目前已经取得了瞩目的进展。然而在训练过程中引入的噪声和信息利用不完全问题限制了该任务的进一步发展。提出一种融合浅... 无监督行人重识别旨在挖掘无标注数据的判别性表示用于行人检索任务。基于伪标签进行训练的无监督行人重识别方法目前已经取得了瞩目的进展。然而在训练过程中引入的噪声和信息利用不完全问题限制了该任务的进一步发展。提出一种融合浅层空频信息的多粒度师生网络。首先,同时考虑全局和局部特征并将其集成到聚类对比学习中,丰富特征表示,利用训练好的教师模型指导学生模型快速收敛,减少噪声伪标签的干扰;其次,设计一个新颖的空频信息交互模块,利用网络加深过程中丢失的浅层空间域、频域有用信息;此外,在学生网络的训练过程中采用一种重利用策略,将以往方法中直接丢弃的部分未聚类实例作为难样本重新利用。在Market1501、DukeMTMC-reID和MSMT173个大型数据集上的均值平均精度(mAP)结果分别达到87.5%、74.8%和41.9%,证明了该方法的优越性。 展开更多
关键词 无监督行人重识别 伪标签噪声 多粒度特征 师生网络 空频信息
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融合表征转换与模式回归的航迹插补方法
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作者 陶冶 汤锦辉 +2 位作者 闫震 周臣 王冲 《航空学报》 北大核心 2026年第1期266-287,共22页
空中交通管制监视系统采集的民航航迹数据存在完整性缺失的问题,不仅影响了空管监视的时空连续性,更制约了基于航迹运行框架下智能化技术的应用潜力。针对这一问题,提出一种融合表征转换与模式回归的航迹插补方法。本方法的技术实现路... 空中交通管制监视系统采集的民航航迹数据存在完整性缺失的问题,不仅影响了空管监视的时空连续性,更制约了基于航迹运行框架下智能化技术的应用潜力。针对这一问题,提出一种融合表征转换与模式回归的航迹插补方法。本方法的技术实现路径包含3个核心构件:首先,构建基于时空四维航迹数据向RGB通道彩色图像表征形式转换的编码模型,通过将缺失航迹插补问题转换为图像修复任务,实现问题域的创新性转换;其次,设计具备多尺度感知能力的回归模型架构,并在各分辨率信息传递路径中分别引入多卷积融合模块与改进型混合注意力机制模块,有效提升复杂时空模式的表征能力;最终,采用提出的基于自适应权重分配的全局与局部特征融合训练策略,系统性地优化模型整体拟合性能。实验环节在真实航迹数据集上构建多维评估体系,结果表明:相较于传统统计插值方法与现有深度学习方法,提出方法针对90%缺失率以下的航迹数据插补精度有明显提升,同时消融实验证实各创新模块与训练策略的有效性。上述结果充分说明提出方法在解决航迹完整性不足问题时,展现出泛化性能优势与工程应用鲁棒性。 展开更多
关键词 空中交通管制 深度学习 飞行航迹插补 表征转换 模式回归 多尺度回归模型
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融合多尺度分辨率和带状特征的遥感道路提取
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作者 李国燕 李鹏辉 +2 位作者 刘榕 梅玉鹏 张明辉 《浙江大学学报(工学版)》 北大核心 2026年第3期585-593,共9页
针对现有深度学习方法在提取遥感影像道路长距离拓扑特征时存在连通性断裂和细节缺失的问题,提出融合多尺度分辨率和带状特征网络(MSRSF-Net).该网络设计带状形态学注意力机制,强化细长道路的特征聚焦能力.编码器集成通道-空间双注意力... 针对现有深度学习方法在提取遥感影像道路长距离拓扑特征时存在连通性断裂和细节缺失的问题,提出融合多尺度分辨率和带状特征网络(MSRSF-Net).该网络设计带状形态学注意力机制,强化细长道路的特征聚焦能力.编码器集成通道-空间双注意力机制与多分辨率残差分支,实现跨尺度特征的协同提取.解码器采用带状卷积与方形卷积的特征融合架构,提升道路提取的拓扑连贯性.在Massachusetts、DeepGlobe、SpaceNet数据集上的实验表明,MSRSF-Net的IoU分别达到73.76%、68.57%、59.98%,APLS达到69.78%、60.27%、62.17%,与主流分割模型相比,道路连续性的保持能力有所提升. 展开更多
关键词 道路提取 带状卷积 多尺度特征融合 注意力机制 ResNet残差结构
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基于通道组合生成器的多模态行人重识别
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作者 李小聪 庞成鑫 《信息技术》 2026年第2期113-118,124,共7页
在多模态行人重识别中,异构模态之间存在显著的差异,导致提取模态共享的行人特征存在困难。针对该问题,文中提出利用通道组合生成器生成介于可见光和红外模态间的过渡模态行人图像,缩小异构图像间的差异;利用改进的三流分层特征提取网络... 在多模态行人重识别中,异构模态之间存在显著的差异,导致提取模态共享的行人特征存在困难。针对该问题,文中提出利用通道组合生成器生成介于可见光和红外模态间的过渡模态行人图像,缩小异构图像间的差异;利用改进的三流分层特征提取网络,提取三种模态参数特有和参数共享的行人特征,降低共享特征提取的难度;构造加权三元组-中心损失,优化模态间类内和模态内类内关系。 展开更多
关键词 深度学习 图像处理 行人重识别 可见光-红外 多模态
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Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process 被引量:3
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作者 Donglei Zheng Le Zhou Zhihuan Song 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2021年第8期1465-1476,共12页
In practical process industries,a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes,which indicates that the measurements coming from different ... In practical process industries,a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes,which indicates that the measurements coming from different sources are collected at different sampling rates.To build a complete process monitoring strategy,all these multi-rate measurements should be considered for data-based modeling and monitoring.In this paper,a novel kernel multi-rate probabilistic principal component analysis(K-MPPCA)model is proposed to extract the nonlinear correlations among different sampling rates.In the proposed model,the model parameters are calibrated using the kernel trick and the expectation-maximum(EM)algorithm.Also,the corresponding fault detection methods based on the nonlinear features are developed.Finally,a simulated nonlinear case and an actual pre-decarburization unit in the ammonia synthesis process are tested to demonstrate the efficiency of the proposed method. 展开更多
关键词 Fault detection kernel method multi-rate process probability principal component analysis(PPCA)
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Performance Improvement of DCF Supporting Multi-Rate in IEEE 802.11b Wireless LAN 被引量:1
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作者 葛卫民 张亮 舒炎泰 《Transactions of Tianjin University》 EI CAS 2007年第4期276-281,共6页
This paper proposes a new channel access algorithm based on channel occupancy time (COT) fairness to guarantee fairness and improve the aggregate throughput of 802.11b multi-rate WLANs. In the algorithm, the COT is ... This paper proposes a new channel access algorithm based on channel occupancy time (COT) fairness to guarantee fairness and improve the aggregate throughput of 802.11b multi-rate WLANs. In the algorithm, the COT is used as fairness index to analyze the fairness of WLANs instead of the channel access probability (CAP) used in the distributed coordination function (DCF). The standard COT is given by access point (AP) and broadcasted to all wireless stations. The AP and wireless stations in the WLAN can achieve COT-based fairness by adjusting their packet length, sending the multiple back-to-back packets at one time, or giving up an opportunity to access the channel. Analysis and simulations show that our algorithm can provide COT-fairness. Compared with the CAP-based algorithm, the proposed algorithm leads to improvements in aggregate throughput of IEEE 802. lib multi-rate WLANs. 展开更多
关键词 IEEE 802.11b wireless LAN multi-rATE THROUGHPUT FAIRNESS
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Research of Multi-Rate LDPC Decoding in Optical Communication System 被引量:1
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作者 Wenhao Jin Chunwu Liu 《Optics and Photonics Journal》 2020年第6期174-181,共8页
<div style="text-align:justify;"> Low-density parity-check code (LDPC) not only has good performance approaching the Shannon limit, but also has low decoding complexity and flexible structure. It is a ... <div style="text-align:justify;"> Low-density parity-check code (LDPC) not only has good performance approaching the Shannon limit, but also has low decoding complexity and flexible structure. It is a research hot-spot in the field of channel coding in recent years and has a wide range of application prospects in optical communication systems. In this paper, the decoding aspects and performance of LDPC codes are analyzed and compared according to the bit error rate (BER) of LDPC codes. The computer simulation was carried out under additive white Gaussian noise (AWGN) channel and binary phase shift keying (BPSK) modulation. Through theoretical analysis and simulation results, this paper explores the way of multi-rate LDPC decoding. </div> 展开更多
关键词 LDPC multi-rATE DECODING SIMULATION
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The study on the shrink-fit multi-ring flywheel with fall-off function
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作者 Yu-Jin Wang De-Zhong Wang +2 位作者 Wei-Zhong Guo Jun-Lian Yin Cheng-Wei Wang 《Nuclear Science and Techniques》 SCIE CAS CSCD 2017年第3期115-122,共8页
Structural integrity of the flywheel of reactor coolant pump is important for safe operation of a nuclear power plant. A shrink-fit multi-ring flywheel is designed with a fall-off function, i.e., it will separate from... Structural integrity of the flywheel of reactor coolant pump is important for safe operation of a nuclear power plant. A shrink-fit multi-ring flywheel is designed with a fall-off function, i.e., it will separate from the shaft at a designed fall-off rotation speed, which is determined by the assembly process and the gravity. However, the two factors are ignored in the analytical method based on the Lame's equation. In this work, we conducted fall-off experiments to analyze the two factors and used the experimental data to verify the validity of the analytical method and the finite element method(FEM). The results show that FEM performs better than the analytical method in designing the falloff function of the flywheel, though FEM cannot successfully predict the strain variation with the rotational speed. 展开更多
关键词 multi-ring FLYWHEEL Fall-off rotational speed Shrink-fit assembly Gravity
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Simulation Study on Multi-Rate Time-Frequency Analysis of Non-Stationary Signals
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作者 LIN Haibo GAO Zhibin +1 位作者 YI Chuijie LIN Tianran 《Journal of Shanghai Jiaotong university(Science)》 EI 2018年第6期798-802,共5页
A new time-frequency analysis method is proposed in this study using a multi-rate signal decomposition technique for the analysis of non-stationary signals. The method uses a multi-rate filter bank for an improved non... A new time-frequency analysis method is proposed in this study using a multi-rate signal decomposition technique for the analysis of non-stationary signals. The method uses a multi-rate filter bank for an improved non-stationary signal decomposition treatment, and uses the Wigner-Ville distribution(WVD) analysis for signal reconstruction. The method presented in this study can effectively resolves the time and frequency resolution issue for non-stationary signal analysis and the cross-term issue typically encountered in time-frequency analysis.The feasibility and accuracy of the proposed method are evaluated and verified in a numerical simulation. 展开更多
关键词 NON-STATIONARY SIGNALS TIME-FREQUENCY analysis multi-rATE DECOMPOSITION Wigner-Ville distribution (WVD)
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Study of multi-rate multi-user detection based on supervision decision
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作者 杨涛 谢剑英 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2004年第3期413-418,共6页
Multi-user detection (MUD) based on multirate transmission in code division multiple access (CDMA) system is discussed. Under the requirement of signal interference ratio (SIR) detection at base station and framework ... Multi-user detection (MUD) based on multirate transmission in code division multiple access (CDMA) system is discussed. Under the requirement of signal interference ratio (SIR) detection at base station and framework with parallel interference cancellation, a supervision decision algorithm based on pre-decision of probabilistic data association (PDA) and hard decision is proposed. The detection performance is analyzed and simulation is implemented to show that the supervision decision algorithm improves the detection performance effectively. 展开更多
关键词 CDMA multi-rATE multi-user detection supervision decision.
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