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Turkish J. Electr. Eng. Comput. Sci.最新文献

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Retracted: Association Rule Mining Algorithm in College Students' Quality Evaluation System 撤回:大学生素质评价系统中的关联规则挖掘算法
Pub Date : 2023-08-16 DOI: 10.1155/2023/9858059
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: The Influence and Analysis of Multimedia Interaction on the Development of Dance 撤回:多媒体互动对舞蹈发展的影响与分析
Pub Date : 2023-08-16 DOI: 10.1155/2023/9865949
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: Scene Construction and Application of Panoramic Virtual Simulation in Interactive Dance Teaching Based on Artificial Intelligence Technology 撤回:基于人工智能技术的全景虚拟仿真场景构建及在互动舞蹈教学中的应用
Pub Date : 2023-08-16 DOI: 10.1155/2023/9818020
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: Based on Knowledge Recognition and Using Binomial Distribution Function to Establish a Mathematical Model of Random Selection of Test Questions in the Test Bank 撤回:基于知识识别,利用二项分布函数建立试题库中随机抽取试题的数学模型
Pub Date : 2023-08-16 DOI: 10.1155/2023/9838757
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: Development Path and Mechanism of Cultural Tourism Integration Based on Deep Learning Mobile Big Data Analysis 撤回:基于深度学习移动大数据分析的文旅融合发展路径与机制
Pub Date : 2023-08-16 DOI: 10.1155/2023/9892810
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: E-Commerce Logistics Intelligent Warehousing System Solution Based on Multimedia Technology 撤回:基于多媒体技术的电子商务物流智能仓储系统解决方案
Pub Date : 2023-08-16 DOI: 10.1155/2023/9792710
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: Construction of Mathematics Teaching Environment Based on Big Data on the Wisdom Cloud Platform of Higher Vocational Education 撤稿:基于大数据的高职教育智慧云平台数学教学环境构建
Pub Date : 2023-08-16 DOI: 10.1155/2023/9898540
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: Blockchain Empowers Chain Enterprises in the Digital Economy to Strengthen Risk Management Research 撤回:区块链助力数字经济中的连锁企业加强风险管理研究
Pub Date : 2023-08-16 DOI: 10.1155/2023/9857127
Journal of Electrical and Computer Engineering
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引用次数: 0
Retracted: Dance Movement Interference Suppression Algorithm Based upon Contour Model and AdaBoost Algorithm 撤回:基于轮廓模型和 AdaBoost 算法的舞蹈动作干扰抑制算法
Pub Date : 2023-08-16 DOI: 10.1155/2023/9824076
Journal of Electrical and Computer Engineering
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引用次数: 0
Efficient Compressed Sensing Reconstruction Algorithm for Nonnegative Vectors in Wireless Data Transmission 无线数据传输中非负矢量的高效压缩感知重构算法
Pub Date : 2023-08-16 DOI: 10.1155/2023/1434736
Yaguang Yang, Hao Zhang, Yu Liu, Yongqing Leng
With the rapid development of 5G communication and wireless Internet of Things technology, the application of intelligent wearable devices based on wireless data transmission technology is becoming more and more popular. However, due to the bandwidth of wireless data transmission nodes and the power consumption of the device system, the use time and data storage of wearable devices are severely restricted. The compressed sensing (CS) technology has become an effective method to tackle this problem. CS technology includes data compressive sensing at the transmission end and data reconstruction at the receiving end. In this paper, we consider the reconstruction of nonnegative sparse vectors, an important problem in the area of CS for wireless data transmission. It is known that the interval-passing (IP) algorithm is a low-complexity message-passing type method for the problem. However, the reconstruction performance of the IP algorithm is inferior to that of the other state-of-the-art CS reconstruction algorithms such as the orthogonal matching pursuit (OMP) algorithm. In order to address the problem, we propose a two-stage reconstruction algorithm in this paper. The proposed algorithm applies the IP algorithm for the first stage of reconstruction. If the reconstruction fails, the OMP algorithm is then used on the basis of the results in the first stage. The proposed algorithm is evaluated and compared with other state-of-the-art algorithms by the probability of perfect reconstruction under the given sparsity order value. Simulation results suggest that the proposed two-stage algorithm can greatly improve the reconstruction performance of the IP algorithm and can even outperform the OMP algorithm. In addition, the low-complexity advantages of the IP algorithm are maintained in the proposed algorithm.
随着5G通信和无线物联网技术的快速发展,基于无线数据传输技术的智能可穿戴设备的应用越来越受欢迎。然而,由于无线数据传输节点的带宽和设备系统的功耗,严重限制了可穿戴设备的使用时间和数据存储。压缩感知技术已成为解决这一问题的有效方法。CS技术包括传输端的数据压缩感知和接收端的数据重构。本文研究了非负稀疏向量的重构问题,这是无线数据传输中CS领域的一个重要问题。已知间隔传递(IP)算法是解决该问题的低复杂度消息传递类型方法。然而,IP算法的重建性能不如其他最先进的CS重建算法,如正交匹配追踪(OMP)算法。为了解决这一问题,本文提出了一种两阶段重构算法。该算法采用IP算法进行第一阶段的重建。如果重建失败,则在第一阶段的结果基础上使用OMP算法。通过在给定稀疏阶值下的完美重构概率,对该算法进行了评价,并与现有算法进行了比较。仿真结果表明,所提出的两阶段算法可以大大提高IP算法的重建性能,甚至优于OMP算法。此外,该算法还保持了IP算法的低复杂度优势。
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引用次数: 0
期刊
Turkish J. Electr. Eng. Comput. Sci.
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