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Anti-Interference High-Speed Modulation Decoder for Quantum Key Distribution
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作者 Hua-Xing Xu Shao-Hua Wang +1 位作者 Chang-Lei Wang Ping Zhang 《Chinese Physics Letters》 2025年第1期34-39,共6页
Quantum key distribution is increasingly transitioning toward network applications,necessitating advancements in system performance,including photonic integration for compact designs,enhanced stability against environ... Quantum key distribution is increasingly transitioning toward network applications,necessitating advancements in system performance,including photonic integration for compact designs,enhanced stability against environmental disturbances,higher key rates,and improved efficiency.In this letter,we propose an orthogonal polarization exchange reflector Michelson interferometer model to address quantum channel disturbances caused by environmental factors.Based on this model,we designed a Sagnac reflector-Michelson interferometer decoder and verified its performance through an interference system.The interference fringe visibility exceeded 98%across all four coding phases at 625 MHz.These results indicate that the decoder effectively mitigates environmental interference while supporting high-speed modulation frequencies.In addition,the proposed anti-interference decoder,which does not rely on magneto-optical devices,is well-suited for photonic integration,aligning with the development trajectory for next-generation quantum communication devices. 展开更多
关键词 decoder INTERFEROMETER POLARIZATION
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Design of improved error-rate sliding window decoder for SC-LDPC codes: reliable termination and channel value reuse
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作者 JIA Xishan LI Jining +3 位作者 YAO Yuan WANG Yifan LIU Bo XU Degang 《Optoelectronics Letters》 2025年第4期212-217,共6页
In this paper,an improved error-rate sliding window decoder is proposed for spatially coupled low-density parity-check(SC-LDPC)codes.For the conventional sliding window decoder,the message retention mechanism causes u... In this paper,an improved error-rate sliding window decoder is proposed for spatially coupled low-density parity-check(SC-LDPC)codes.For the conventional sliding window decoder,the message retention mechanism causes unreliable messages along the edges of belief propagation(BP)decoding in the current window to be kept for subsequent window decoding.To improve the reliability of the retained messages during the window transition,a reliable termination method is embedded,where the retained messages undergo more reliable parity checks.Additionally,decoding failure is unavoidable and even causes error propagation when the number of errors exceeds the error-correcting capability of the window.To mitigate this problem,a channel value reuse mechanism is designed,where the received channel values are utilized to reinitialize the window.Furthermore,considering the complexity and performance of decoding,a feasible sliding optimized window decoding(SOWD)scheme is introduced.Finally,simulation results confirm the superior performance of the proposed SOWD scheme in both the waterfall and error floor regions.This work has great potential in the applications of wireless optical communication and fiber optic communication. 展开更多
关键词 reliable termination message retention mechanism reliable termination method sliding window decoderthe error rate sliding window decoder belief propagation bp decoding retained messages
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基于自注意力机制说话人编码器与SA-Decoder的语音克隆方法
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作者 焦乐岩 朱欣娟 《计算机与现代化》 2025年第7期69-76,共8页
FreeVC模型在语音克隆技术领域表现出色。但是由于语音序列中包含复杂的语音特征变化和信息,例如音色、风格等,FreeVC模型中的Speaker Encoder模块只使用单一的LSTM网络难以准确地提取和表示说话人信息,这会导致模型处理语音序列的性能... FreeVC模型在语音克隆技术领域表现出色。但是由于语音序列中包含复杂的语音特征变化和信息,例如音色、风格等,FreeVC模型中的Speaker Encoder模块只使用单一的LSTM网络难以准确地提取和表示说话人信息,这会导致模型处理语音序列的性能下降,影响声音转换质量和准确性。并且FreeVC模型使用传统的解码器,其中上采样(反卷积)操作细节丢失,导致重建还原的音频咬字细节会模糊不清,从而产生音频伪影。针对这些问题,本文提出一种基于自注意力机制的说话人编码器与SA-Decoder的语音克隆方法FreeVC-SA。该方法将说话人的梅尔谱作为输入,在LSTM网络上加入自注意力机制有助于模型更好地捕捉长距离依赖关系,更为准确地提取说话人的音色、风格等特征。使用SA-Decoder可以很好地解决局部感受野限制问题,使得重建生成的语音克隆效果更加真实、清晰。实验结果表明,与所有基线模型相比,FreeVC-SA语音克隆的自然度相似性和情感相似性均有明显提升,字错误率和字符错误率均有明显下降。 展开更多
关键词 语音克隆 说话人编码器 SA-decoder 自注意力机制 FreeVC-SA
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Global receptive field transformer decoder method on quantum surface code data and syndrome error correction
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作者 Ao-Qing Li Ce-Wen Tian +2 位作者 Xiao-Xuan Xu Hong-Yang Ma Jun-Qing Liang 《Chinese Physics B》 2025年第3期267-276,共10页
Quantum computing has the potential to solve complex problems that are inefficiently handled by classical computation.However,the high sensitivity of qubits to environmental interference and the high error rates in cu... Quantum computing has the potential to solve complex problems that are inefficiently handled by classical computation.However,the high sensitivity of qubits to environmental interference and the high error rates in current quantum devices exceed the error correction thresholds required for effective algorithm execution.Therefore,quantum error correction technology is crucial to achieving reliable quantum computing.In this work,we study a topological surface code with a two-dimensional lattice structure that protects quantum information by introducing redundancy across multiple qubits and using syndrome qubits to detect and correct errors.However,errors can occur not only in data qubits but also in syndrome qubits,and different types of errors may generate the same syndromes,complicating the decoding task and creating a need for more efficient decoding methods.To address this challenge,we used a transformer decoder based on an attention mechanism.By mapping the surface code lattice,the decoder performs a self-attention process on all input syndromes,thereby obtaining a global receptive field.The performance of the decoder was evaluated under a phenomenological error model.Numerical results demonstrate that the decoder achieved a decoding accuracy of 93.8%.Additionally,we obtained decoding thresholds of 5%and 6.05%at maximum code distances of 7 and 9,respectively.These results indicate that the decoder used demonstrates a certain capability in correcting noise errors in surface codes. 展开更多
关键词 quantum error correction surface code transformer decoder
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Pyramid–MixNet: Integrate Attention into Encoder-Decoder Transformer Framework for Automatic Railway Surface Damage Segmentation
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作者 Hui Luo Wenqing Li Wei Zeng 《Computers, Materials & Continua》 2025年第7期1567-1580,共14页
Rail surface damage is a critical component of high-speed railway infrastructure,directly affecting train operational stability and safety.Existing methods face limitations in accuracy and speed for small-sample,multi... Rail surface damage is a critical component of high-speed railway infrastructure,directly affecting train operational stability and safety.Existing methods face limitations in accuracy and speed for small-sample,multi-category,and multi-scale target segmentation tasks.To address these challenges,this paper proposes Pyramid-MixNet,an intelligent segmentation model for high-speed rail surface damage,leveraging dataset construction and expansion alongside a feature pyramid-based encoder-decoder network with multi-attention mechanisms.The encoding net-work integrates Spatial Reduction Masked Multi-Head Attention(SRMMHA)to enhance global feature extraction while reducing trainable parameters.The decoding network incorporates Mix-Attention(MA),enabling multi-scale structural understanding and cross-scale token group correlation learning.Experimental results demonstrate that the proposed method achieves 62.17%average segmentation accuracy,80.28%Damage Dice Coefficient,and 56.83 FPS,meeting real-time detection requirements.The model’s high accuracy and scene adaptability significantly improve the detection of small-scale and complex multi-scale rail damage,offering practical value for real-time monitoring in high-speed railway maintenance systems. 展开更多
关键词 Pyramid vision transformer encoderdecoder architecture railway damage segmentation masked multi-head attention mix-attention
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Low power Viterbi decoder design for low altitude adhoc networks
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作者 FEI Yingying XIAO Chunlu +3 位作者 JING Wenhao MA Tianming WANG Jiahan JIN Jie 《High Technology Letters》 2025年第2期154-163,共10页
With the rapid development of low altitude economic industry,low altitude adhoc network technology has been getting more and more intensive attention.In the adhoc network protocol designed in this paper,the convolutio... With the rapid development of low altitude economic industry,low altitude adhoc network technology has been getting more and more intensive attention.In the adhoc network protocol designed in this paper,the convolutional code used is(3,1,7),and the design of a low power Viterbi decoder adapted to multi-rate variations is proposed.In the traditional Viterbi decoding method,the high complexity of path metric(PM)accumulation and Euclidean distance computation leads to the problems of low efficiency and large storage resources in the decoder.In this paper,an improved add compare select(ACS)algorithm,a generalized formula for branch metric(BM)based on Manhattan distance,and a method to reduce the accumulated PM for different Viterbi decoders are put forward.A simulation environment based on Vivado and Matlab to verify the accuracy and effectiveness of the proposed Viterbi decoder is also established.The experimental results show that the total power consumption is reduced by 15.58%while the decoding accuracy of the Viterbi decoder is guaranteed,which meets the design requirements of a low power Viterbi decoder. 展开更多
关键词 low altitude adhoc network Manhattan distance network protocol Viterbi decoder field programmable gate array(FPGA)
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Area optimization of parallel Chien search architecture for Reed-Solomon(255,239) decoder 被引量:1
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作者 胡庆生 王志功 +1 位作者 张军 肖洁 《Journal of Southeast University(English Edition)》 EI CAS 2006年第1期5-10,共6页
A global optimization algorithm (GOA) for parallel Chien search circuit in Reed-Solomon (RS) (255,239) decoder is presented. By finding out the common modulo 2 additions within groups of Galois field (GF) mult... A global optimization algorithm (GOA) for parallel Chien search circuit in Reed-Solomon (RS) (255,239) decoder is presented. By finding out the common modulo 2 additions within groups of Galois field (GF) multipliers and pre-computing the common items, the GOA can reduce the number of XOR gates efficiently and thus reduce the circuit area. Different from other local optimization algorithms, the GOA is a global one. When there are more than one maximum matches at a time, the best match choice in the GOA has the least impact on the final result by only choosing the pair with the smallest relational value instead of choosing a pair randomly. The results show that the area of parallel Chien search circuits can be reduced by 51% compared to the direct implementation when the group-based GOA is used for GF multipliers and by 26% if applying the GOA to GF multipliers separately. This optimization scheme can be widely used in general parallel architecture in which many GF multipliers are involved. 展开更多
关键词 RS decoder Chien search circuit area optimization Galois field multiplier
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A Total Dose Radiation Hardened PDSOI CMOS 3-Line to 8-Line Decoder
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作者 刘梦新 韩郑生 +3 位作者 李多力 刘刚 赵超荣 赵发展 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2008年第6期1036-1039,共4页
The first domestic total dose hardened 2μm partially depleted silicon-on-insulator (PDSOI) CMOS 3-line to 8- line decoder fabricated in SIMOX is demonstrated. The radiation performance is characterized by transisto... The first domestic total dose hardened 2μm partially depleted silicon-on-insulator (PDSOI) CMOS 3-line to 8- line decoder fabricated in SIMOX is demonstrated. The radiation performance is characterized by transistor threshold voltage shifts,circuit static leakage currents,and I-V curves as a function of total dose up to 3× 10^5rad(Si). The worst case threshold voltage shifts of the front channels are less than 20mV for nMOS transistors at 3 × 10^5rad(Si) and follow-up irradiation and less than 70mV for the pMOS transistors. Furthermore, no significant radiation induced leakage currents and functional degeneration are observed. 展开更多
关键词 PDSOI decoder total dose RADIATION
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基于时空特征融合的Encoder-Decoder多步4D短期航迹预测 被引量:2
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作者 石庆研 张泽中 韩萍 《信号处理》 CSCD 北大核心 2023年第11期2037-2048,共12页
航迹预测在确保空中交通安全、高效运行中扮演着至关重要的角色。所预测的航迹信息是航迹优化、冲突告警等决策工具的输入,而预测准确性取决于模型对航迹序列特征的提取能力。航迹序列数据是具有丰富时空特征的多维时间序列,其中每个变... 航迹预测在确保空中交通安全、高效运行中扮演着至关重要的角色。所预测的航迹信息是航迹优化、冲突告警等决策工具的输入,而预测准确性取决于模型对航迹序列特征的提取能力。航迹序列数据是具有丰富时空特征的多维时间序列,其中每个变量都呈现出长短期的时间变化模式,并且这些变量之间还存在着相互依赖的空间信息。为了充分提取这种时空特征,本文提出了基于融合时空特征的编码器-解码器(Spatio-Temporal EncoderDecoder,STED)航迹预测模型。在Encoder中使用门控循环单元(Gated Recurrent Unit,GRU)、卷积神经网络(Convolutional Neural Network,CNN)和注意力机制(Attention,AT)构成的双通道网络来分别提取航迹时空特征,Decoder对时空特征进行拼接融合,并利用GRU对融合特征进行学习和递归输出,实现对未来多步航迹信息的预测。利用真实的航迹数据对算法性能进行验证,实验结果表明,所提STED网络模型能够在未来10 min预测范围内进行高精度的短期航迹预测,相比于LSTM、CNN-LSTM和AT-LSTM等数据驱动航迹预测模型具有更高的精度。此外,STED网络模型预测一个航迹点平均耗时为0.002 s,具有良好的实时性。 展开更多
关键词 4D航迹预测 时空特征 Encoder-decoder 门控循环单元
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基于encoder-decoder框架的城镇污水厂出水水质预测 被引量:4
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作者 史红伟 陈祺 +1 位作者 王云龙 李鹏程 《中国农村水利水电》 北大核心 2023年第11期93-99,共7页
由于污水厂的出水水质指标繁多、污水处理过程中反应复杂、时序非线性程度高,基于机理模型的预测方法无法取得理想效果。针对此问题,提出基于深度学习的污水厂出水水质预测方法,并以吉林省某污水厂监测水质为来源数据,利用多种结合encod... 由于污水厂的出水水质指标繁多、污水处理过程中反应复杂、时序非线性程度高,基于机理模型的预测方法无法取得理想效果。针对此问题,提出基于深度学习的污水厂出水水质预测方法,并以吉林省某污水厂监测水质为来源数据,利用多种结合encoder-decoder结构的神经网络预测水质。结果显示,所提结构对LSTM和GRU网络预测能力都有一定提升,对长期预测能力提升更加显著,ED-GRU模型效果最佳,短期预测中的4个出水水质指标均方根误差(RMSE)为0.7551、0.2197、0.0734、0.3146,拟合优度(R2)为0.9013、0.9332、0.9167、0.9532,可以预测出水质局部变化,而长期预测中的4个指标RMSE为1.7204、1.7689、0.4478、0.8316,R2为0.4849、0.5507、0.4502、0.7595,可以预测出水质变化趋势,与顺序结构相比,短期预测RMSE降低10%以上,R2增加2%以上,长期预测RMSE降低25%以上,R2增加15%以上。研究结果表明,基于encoder-decoder结构的神经网络可以对污水厂出水水质进行准确预测,为污水处理工艺改进提供技术支撑。 展开更多
关键词 污水厂出水 encoder-decoder 多指标水质预测 GRU模型
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基于DCNv2和Transformer Decoder的隧道衬砌裂缝高效检测模型研究 被引量:1
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作者 孙己龙 刘勇 +4 位作者 周黎伟 路鑫 侯小龙 王亚琼 王志丰 《图学学报》 CSCD 北大核心 2024年第5期1050-1061,共12页
为解决因衬砌裂缝性状随机、分布密集、标注框分辨率低所导致的现有模型识别精度低、检测速度慢及参数量庞大等问题,以第2版可变形卷积网络(DCNv2)和端到端变换器解码器(Transformer Decoder)为基础对YOLOv8网络框架进行改进,提出了面... 为解决因衬砌裂缝性状随机、分布密集、标注框分辨率低所导致的现有模型识别精度低、检测速度慢及参数量庞大等问题,以第2版可变形卷积网络(DCNv2)和端到端变换器解码器(Transformer Decoder)为基础对YOLOv8网络框架进行改进,提出了面向衬砌裂缝的检测模型DTD-YOLOv8。首先,通过引入DCNv2对YOLOv8主干卷积网络C2f进行融合以实现模型对裂缝形变特征的准确快速感知,同时采用Transformer Decoder对YOLOv8检测头进行替换以实现端到端框架内完整目标检测流程,从而消除因Anchor-free处理模式所带来的计算消耗。采用自建裂缝数据集对SSD,Faster-RCNN,RT-DETR,YOLOv3,YOLOv5,YOLOv8和DTD-YOLOv8的7种检测模型进行对比验证。结果表明:改进模型F1分数和mAP@50值分别为87.05%和89.58%;其中F1分数相较其他6种模型分别提高了14.16%,7.68%,1.55%,41.36%,8.20%和7.40%;mAP@50分别提高了28.84%,15.47%,1.33%,47.65%,10.14%和10.84%。改进模型参数量仅为RT-DETR的三分之一,检测单张图片的速度为16.01 ms,FPS为65.46帧每秒,对比其他模型检测速度得到提升。该模型在面向运营隧道裂缝检测任务需求时能够表现出高效的性能。 展开更多
关键词 隧道工程 目标检测 第2版可变形卷积网络 Transformer decoder 衬砌裂缝
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Modified Benes network architecture for WiMAX LDPC decoder 被引量:1
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作者 徐勐 吴建辉 张萌 《Journal of Southeast University(English Edition)》 EI CAS 2011年第2期140-143,共4页
A modified Benes network is proposed to be used as an optimal shuffle network in worldwide interoperability for microwave access (WiMAX) low density parity check (LDPC) decoders, When the size of the input is not ... A modified Benes network is proposed to be used as an optimal shuffle network in worldwide interoperability for microwave access (WiMAX) low density parity check (LDPC) decoders, When the size of the input is not a power of two, the modified Benes network can achieve the most optimal performance. This modified Benes network is non-blocking and can perform any sorts of permutations, so it can support 19 modes specified in the WiMAX system. Furthermore, an efficient algorithm to generate the control signals for all the 2 × 2 switches in this network is derived, which can reduce the hardware complexity and overall latency of the modified Benes network. Synthesis results show that the proposed control signal generator can save 25.4% chip area and the overall network latency can be reduced by 36. 2%. 展开更多
关键词 worldwide interoperability for microwave access(WiMAX) quasi-cycle low density parity check (QC-LDPC) LDPC decoder Benes network
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耦合Encoder-Decoder的LSTM径流预报模型研究 被引量:14
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作者 林康聆 陈华 +3 位作者 陈清勇 罗宇轩 刘峰 陈杰 《武汉大学学报(工学版)》 CAS CSCD 北大核心 2022年第8期755-761,共7页
将长短期记忆神经网络(long short-term memory neural network,LSTM)与Encoder-Decoder结构耦合应用为LSTM-ED模型,并与LSTM人工智能径流预报模型进行比较。通过在闽江建溪流域进行应用,结果表明,相较于LSTM,LSTM-ED在检验期整体和各... 将长短期记忆神经网络(long short-term memory neural network,LSTM)与Encoder-Decoder结构耦合应用为LSTM-ED模型,并与LSTM人工智能径流预报模型进行比较。通过在闽江建溪流域进行应用,结果表明,相较于LSTM,LSTM-ED在检验期整体和各预见期具有更高的精度和稳定性,且对于典型洪水的预报洪峰误差更小,其独有的语义向量可以保持水文信息的连续性,预报径流过程不易受降雨波动干扰。2个模型的预报能力都与流域最大汇流时间密切相关,当预见期小于流域最大汇流时间时,2个模型都有很好的预报能力;当预见期大于流域最大汇流时间时,模型预报能力显著变差;当预见期远大于流域最大汇流时间时,2个模型都失去预报可靠性。 展开更多
关键词 径流预报 Encoder-decoder结构 长短期记忆神经网络 深度学习 人工神经网络
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基于Encoder-Decoder注意力网络的异常驾驶行为在线识别方法 被引量:2
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作者 唐坤 戴语琴 +2 位作者 徐永能 郭唐仪 邵飞 《兵器装备工程学报》 CAS CSCD 北大核心 2023年第8期63-71,共9页
异常驾驶行为是车辆安全运行的重大威胁,其对人员与物资的安全高效投送造成严重危害。以低成本非接触式的手机多传感器数据为基础,通过对驾驶行为特性进行数据分析,提出一种融合Encoder-Decoder深度网络与Attention机制的异常驾驶行为... 异常驾驶行为是车辆安全运行的重大威胁,其对人员与物资的安全高效投送造成严重危害。以低成本非接触式的手机多传感器数据为基础,通过对驾驶行为特性进行数据分析,提出一种融合Encoder-Decoder深度网络与Attention机制的异常驾驶行为的在线识别方法。该方法由基于LSTM(long short-term memory)的Encoder-Decoder、Attention机制与基于SVM(support vector machine)的分类器3个模块构成。该系统识别方法包括:输入编码、注意力学习、特征解码、序列重构、残差计算与驾驶行为分类等6个步骤。该技术方法利用自然驾驶条件下所采集的手机传感器数据进行实验。实验结果表明:①手机多传感器数据融合方法对驾驶行为识别具备有效性;②异常驾驶行为必然会造成数据异常波动;③Attention机制有助于提升模型学习效果,对所提出模型的识别准确率F1-score为0.717,与经典同类模型比较,准确率得到显著提升;④对于汽车异常驾驶行为来说,SVM比Logistic与随机森林算法具有更优越的识别效果。 展开更多
关键词 异常驾驶 深度学习 编码器-解码器 长短时记忆网络 注意力机制
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Viterbi Decoder ACS单元中路径度量值存储空间的优化
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作者 郭正伟 赵勇 《现代电子技术》 2007年第17期71-73,共3页
ACS单元的设计及路径度量(PM)值的存储是Viterbi Decoder硬件实现的重要部分之一。介绍了一种码率为1/2的硬判决Viterbi Decoder的ACS部分的硬件实现方法。采用了一种全新的设计与存储方式,即原位运算旋转地址的方式,极大地节省了在ACS... ACS单元的设计及路径度量(PM)值的存储是Viterbi Decoder硬件实现的重要部分之一。介绍了一种码率为1/2的硬判决Viterbi Decoder的ACS部分的硬件实现方法。采用了一种全新的设计与存储方式,即原位运算旋转地址的方式,极大地节省了在ACS运算过程中用以存储路径度量值的RAM空间,大量的实验证明,设计的译码器在资源消耗上有较大优势。 展开更多
关键词 卷积码 VITERBI decoder ACS单元 路径度量 分支度量 幸存路径 回溯
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LSTM Encoder-Decoder方法预测设备剩余使用寿命 被引量:7
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作者 赵志宏 李晴 +1 位作者 李乐豪 赵敬娇 《交通运输工程学报》 EI CSCD 北大核心 2021年第6期269-277,共9页
应用LSTM Encoder-Decoder提出了机械设备剩余使用寿命预测方法;对获取的传感器数据进行预处理,利用LSTM Encoder对数据序列进行编码,得到设备状态信息的中间表示,其中蕴含了设备状态的特征信息,利用LSTM Decoder对中间表示信息进行解码... 应用LSTM Encoder-Decoder提出了机械设备剩余使用寿命预测方法;对获取的传感器数据进行预处理,利用LSTM Encoder对数据序列进行编码,得到设备状态信息的中间表示,其中蕴含了设备状态的特征信息,利用LSTM Decoder对中间表示信息进行解码,利用解码后的信息预测剩余使用寿命;研究了LSTM Encoder-Decoder方法在公开的C-MAPSS数据集上的剩余使用寿命预测试验,与LSTM、D-LSTM等方法进行了对比试验;研究了不同滑动窗口大小对于剩余寿命预测结果的影响。研究结果表明:LSTM Encoder-Decoder方法的剩余使用寿命预测结果的评分函数值和均方根误差均优于LSTM、D-LSTM方法;在FD001子集上,LSTM Encoder-Decoder方法、LSTM方法和D-LSTM方法对应的均方根误差分别为11、12、16;当滑动窗口大小为30时,LSTM Encoder-Decoder方法在FD001~FD004子集对应的评分函数值分别为164、3 012、372、4 800,对应的均方根误差分别为11、20、14、22;当滑动窗口大小为40时,LSTM Encoder-Decoder方法在FD001~FD004子集对应的评分函数值分别为305、1 220、408、4 828,对应的均方根误差分别为14、16、15、19。可见,提出的LSTM Encoder-Decoder方法是一种有效的预测机械设备剩余使用寿命方法,并且滑动窗口大小对于剩余使用寿命预测结果存在一定的影响。 展开更多
关键词 剩余使用寿命预测 编码器-解码器 LSTM 深度学习 特征提取
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High Performance Viterbi Decoder on Cell/B.E. 被引量:2
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作者 Lai Junjie Tang Jun +1 位作者 Peng Yingning Chen Jianwen 《China Communications》 SCIE CSCD 2009年第2期150-156,共7页
Viterbi decoding is widely used in many radio systems. Because of the large computation complexity, it is usually implemented with ASIC chips, FPGA chips, or optimized hardware accelerators. With the rapid development... Viterbi decoding is widely used in many radio systems. Because of the large computation complexity, it is usually implemented with ASIC chips, FPGA chips, or optimized hardware accelerators. With the rapid development of the multicore technology, multicore platforms become a reasonable choice for software radio (SR) systems. The Cell Broadband Engine processor is a state-of-art multi-core processor designed by Sony, Toshiba, and IBM. In this paper, we present a 64-state soft input Viterbi decoder for WiMAX SR Baseband system based on the Cell processor. With one Synergistic Processor Element (SPE) of a Cell Processor running at 3.2GHz, our Viterbi decoder can achieve the throughput up to 30Mb/s to decode the tail-biting convolutional code. The performance demonstrates that the proposed Viterbi decoding implementation is very efficient. Moreover, the Viterbi decoder can be easily integrated to the SR system and can provide a highly integrated SR solution. The optimization methodology in this module design can be extended to other modules on Cell platform. 展开更多
关键词 viterbi decoding WIMAX tail-biting CELL MULTI-CORE
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Radiation Tolerant Viterbi Decoders for On-Board Processing(OBP) in Satellite Communications 被引量:1
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作者 Zhen Gao Lina Yan +3 位作者 Jinhua Zhu Ruishi Han Ullah Anees Reviriego Pedro 《China Communications》 SCIE CSCD 2020年第1期140-150,共11页
Modern satellite communication systems require on-board processing(OBP)for performance improvements,and SRAM-FPGAs are an attractive option for OBP implementation.However,SRAM-FPGAs are sensitive to radiation effects,... Modern satellite communication systems require on-board processing(OBP)for performance improvements,and SRAM-FPGAs are an attractive option for OBP implementation.However,SRAM-FPGAs are sensitive to radiation effects,among which single event upsets(SEUs)are important as they can lead to data corruption and system failure.This paper studies the fault tolerance capability of a SRAM-FPGA implemented Viterbi decoder to SEUs on the user memory.Analysis and fault injection experiments are conducted to verify that over 97%of the SEUs on user memory would not lead to output errors.To achieve a better reliability,selective protection schemes are then proposed to further improve the reliability of the decoder to SEUs on user memory with very small overhead.Although the results are obtained for a specific FPGA implementation,the developed reliability estimation model and the general conclusions still hold for other implementations. 展开更多
关键词 viterbi decoder on-board processing FPGA user memory fault tolerance single event upsets
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Lowering the Error Floor of ADMM Penalized Decoder for LDPC Codes 被引量:1
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作者 Jiao Xiaopeng Mu Jianjun 《China Communications》 SCIE CSCD 2016年第8期127-135,共9页
Decoding by alternating direction method of multipliers(ADMM) is a promising linear programming decoder for low-density parity-check(LDPC) codes. In this paper, we propose a two-step scheme to lower the error floor of... Decoding by alternating direction method of multipliers(ADMM) is a promising linear programming decoder for low-density parity-check(LDPC) codes. In this paper, we propose a two-step scheme to lower the error floor of LDPC codes with ADMM penalized decoder.For the undetected errors that cannot be avoided at the decoder side, we modify the code structure slightly to eliminate low-weight code words. For the detected errors induced by small error-prone structures, we propose a post-processing method for the ADMM penalized decoder. Simulation results show that the error floor can be reduced significantly over three illustrated LDPC codes by the proposed two-step scheme. 展开更多
关键词 LDPC codes linear programming decoding alternating direction method of multipliers(ADMM) error floor
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Improved List Sphere Decoder for Multiple Antenna Systems 被引量:1
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作者 宫丰奎 葛建华 李兵兵 《Journal of Southwest Jiaotong University(English Edition)》 2008年第1期1-9,共9页
An improved list sphere decoder (ILSD) is proposed based on the conventional list sphere decoder (LSD) and the reduced- complexity maximum likelihood sphere-decoding algorithm. Unlike the conventional LSD with fix... An improved list sphere decoder (ILSD) is proposed based on the conventional list sphere decoder (LSD) and the reduced- complexity maximum likelihood sphere-decoding algorithm. Unlike the conventional LSD with fixed initial radius, the ILSD adopts an adaptive radius to accelerate the list cdnstruction. Characterized by low-complexity and radius-insensitivity, the proposed algorithm makes iterative joint detection and decoding more realizable in multiple-antenna systems. Simulation results show that computational savings of ILSD over LSD are more apparent with more transmit antennas or larger constellations, and with no performance degradation. Because the complexity of the ILSD algorithm almost keeps invariant with the increasing of initial radius, the BER performance can be improved by selecting a sufficiently large radius. 展开更多
关键词 Iterative joint detection and decoding List sphere decoding (LSD) Maximum likelihood (ML) Soft in soft out (SISO) Multiple input multiple output (MIMO)
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