Low complexity uplink multiuser MIMO detecting algorithm by HEI Yong-qiang1, LI Xiao-hui1, YI Ke-chu1, YANG Hong2

“…Aiming at the uplink multiuser MIMO system,a new space-time detecting algorithm was proposed,in which a linear recombination strategy was imposed on the received signal first,and then the matched filter vectors orthogonal to each users’ interference sets were used to eliminate the interference among users.Finally the signal of each user was line-arly space-time decoded by means of the orthogonal equivalent channel.The design of the algorithm under imperfect channel scenario was also provided.Theory analysis and simulation results reveal that the proposed algorithm has the advantages of low complexity and good robustness,and is superior to other detecting algorithms.…”
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Low-Complexity Detection Algorithms for Spatial Modulation MIMO Systems by Xinhe Zhang, Yuehua Zhang, Chang Liu, Hanzhong Jia

“…In this paper, the authors propose three low-complexity detection schemes for spatial modulation (SM) systems based on the modified beam search (MBS) detection. …”
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Group Abnormal Behaviour Detection Algorithm Based on Global Optical Flow by Yu Hao, Ying Liu, Jiulun Fan, Zhijie Xu

“…Following, in order to realize the detection of large displacement moving target and solve the problem that the traditional optical flow algorithm is only suitable for the detection of displacement moving target, a video abnormal behaviour detection algorithm based on the double-flow convolutional neural network is proposed. …”
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Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding by Pengyu Liu, Kebin Jia

“…A low-complexity saliency detection algorithm for perceptual video coding is proposed; low-level encoding information is adopted as the characteristics of visual perception analysis. …”
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Low-complexity signal detection algorithm for the power splitting receiver scheme by WANG Yanyan, LI Qidi, TANG Xiaohu

“…To address the issue of high signal detection complexity in mobile communication systems based on the splitting receiver architecture, a low-complexity signal detection algorithm was proposed. …”
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Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection by Peng Luo, Rangjia Cai, Yuanbo Guo

“…Thus, we propose a method CLAD: Contrastive Learning Algorithm for Detecting Low-resource Cryptographic Attack Event. …”
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Auto forensic detecting algorithms of malicious code fragment based on TensorFlow by Binglong LI, Jinlong TONG, Yu ZHANG, Yifeng SUN, Qingxian WANG, Chaowen CHANG

“…In order to auto detect the underlying malicious code fragments in complex，heterogeneous and massive evidence data about digital forensic investigation, a framework for malicious code fragment detecting algorithm based on TensorFlow was proposed by analyzing TensorFlow model and its characteristics.Back-propagation training algorithm was designed through the training progress of deep learning.The underlying binary feature pre-processing algorithm of malicious code fragment was discussed and proposed to address the problem about different devices and heterogeneous evidence sources from storage media and such as AFF forensic containers.An algorithm which used to generate data set about code fragments was designed and implemented.The experimental results show that the comprehensive evaluation index F₁of the method can reach 0.922, and compared with CloudStrike, Comodo, FireEye antivirus engines, the algorithm has obvious advantage in dealing with the underlying code fragment data from heterogeneous storage media.…”
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Adaptive Anomaly Detection in Network Flows With Low-Rank Tensor Decompositions and Deep Unrolling by Lukas Schynol, Marius Pesavento

“…We first propose a novel block-successive convex approximation algorithm based on a regularized model-fitting objective where the normal flows are modeled as low-rank tensors and anomalies as sparse. …”
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Auxiliary Particle Flow Track-Before-Detect Algorithm for Marine Neighboring Weak Targets by Fan Zhang, Chang Liu

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3L-YOLO: A Lightweight Low-Light Object Detection Algorithm by Zhenqi Han, Zhen Yue, Lizhuang Liu

“…In comparison to the LOL-YOLO low-light object detection algorithm, 3L-YOLO requires 16.9 GFLOPs, representing a reduction of 4 GFLOPs.…”
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A Low-Latency Dynamic Object Detection Algorithm Fusing Depth and Events by Duowen Chen, Liqi Zhou, Chi Guo

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Minimising latency of pitch detection algorithms for live vocals on low-cost hardware

“…However, very little information is available concerning the latency of pitch detection algorithms and methods with which this can be minimised. …”
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Low scaling factor Seam Carving tamper detection algorithm with hybrid attention by ZHAO Jie, CHANG Haochan, WU Bin

“…The existing seam carving tamper detection algorithms have the problems of low detection accuracy and weak robustness for the case of low scaling factor. …”
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Enhanced Magnetic Wireless Sensor Network Algorithm for Traffic Flow Monitoring in Low-Speed Congested Traffic by Haji Said Fimbombaya, Nerey H. Mvungi, Ndyetabura Y. Hamisi, Hashimu U. Iddi

“…One of the challenges facing such deployment is the development of effective detection signal-processing algorithm in low-speed congested traffic based on the Earth’s magnetic fields. …”
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Time slot-based RED algorithm on self-similar flows:SFRED by WANG Hui, JI Zhen-zhou, SUN Yan-dong, WANG Yuan-zheng

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Time slot-based RED algorithm on self-similar flows:SFRED by WANG Hui, JI Zhen-zhou, SUN Yan-dong, WANG Yuan-zheng

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Space alternating generalized maximum-likelihood based low-complexity list detection algorithm by Chang-le JING, Xin WANG, Ji-bo WEI, Bin CHEN, Shi-qi WU

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Low complexity hybrid iterative algorithm based signal detection in massive MIMO system by Shufeng ZHAO, Bin SHEN, Furong YANG

“…Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K ²).…”
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Characteristics and Detection Algorithm of Strong and Weak Arc in Low Voltage DC Distribution Network by Guoqiang LIU, Guochun LI, Yanan HAO, Guihai LI, Zhongjie WU

“…Combined with the neural network model, the arc detection algorithm suitable for 750 V system is designed, and the detection accuracy of the algorithm is 99.12%.…”
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LI-YOLO: An Object Detection Algorithm for UAV Aerial Images in Low-Illumination Scenes by Songwen Liu, Hao He, Zhichao Zhang, Yatong Zhou

“…Aiming at the problem of low brightness, high noise, and obscure details of low-illumination images, an object detection algorithm, LI-YOLO (Low-Illumination You Only Look Once), for UAV aerial images in low-illumination scenes is proposed. …”
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