Joint channel and impulsive noise estimation method for OFDM systems by Xinrong LYU, Youming LI, Mingchen YU

“…Aiming at the impulsive noise occurring in OFDM systems,an impulsive noise mitigation algorithm based on compressed sensing theory was proposed.The proposed algorithm firstly treated the channel impulse response and the impulsive noise as a joint sparse vector by exploiting the sparsity of both them.Then the sparse Bayesian learning framework was adopted to jointly estimate the channel impulse response,the impulsive noise and the data symbols,in which the data symbols were regarded as unknown parameters.Compared with the existing impulsive noise mitigation methods,the proposed algorithm not only utilized all subcarriers but also did not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed algorithm achieves significant improvement on the channel estimation and bit error rate performance.…”
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Joint source-channel coding for image transmission based on best wavelet packet by Jun-hong CHEN, Qin-yu ZHANG

“…A novel joint source/channel image coding algorithm was proposed based on the best wavelet packet in a rate-distortion sense.Different from other wavelet packet image coding,the channel and the channel code information were introduced to the source coding,so the proposed algorithm was a joint source-channel coding.The coding of wavelet packet sub-band was bit plane,accorolingly,the bit streams could be good match to UEP.And a WICP-LDPC code was using as a channel code.The simulation results in BSC channel show that,the proposed algorithm is better than the EEP image transmission system.And the proposed algorithm is also better than several other image transmission algorithms,which proposed recently.…”
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Joint design of tuple space and bitmap for two-dimensional packet classification by XIE Kun, ZHAO Jiao-jiao, ZHANG Da-fang

“…Based on dimension decomposition idea,a high-performance two-dimensional packet classification algorithm by jointing tuple space and bitmap technology,called TB,was designed and implemented.Firstly,TB processes one-dimension matching for SIP and DIP respectively,then it forms tuple space access route by applying the cross-combination method to the matching results in the first step,finally,to reduce the number of required accessing tuple space,TB obtains the multi-dimensional matched rule by adapting bitmap filtering technique to filter tuple space.Compared to traditional tuple space algorithm,the structure of TB is clearer,more concise and easier to update and implement,TB also has better time and space performance.The experimental results show that TB algorithm saves 35.1% of the space requirement than RSFR algorithm and the number of average memory accesses lower than RSFR 26.6%.…”
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Design of infrastructure-free Wi-Fi indoor localization by Xiao-jian WANG, Zheng XUE, Yu-peng ZENG, Di WU

“…A RSS-based infrastructure-free localization algorithm was proposed,which is only based on Wi-Fi signals and does not require any additional infrastructure.It reduces the database construction cost by a special dynamic method.By picking the hot spot,it can effectively alleviate the interference from other wireless signals in the nearby region.It also enhances the RSS–based matching algorithm and hence improves the localization accuracy.The algorithm is easy to operate and doesn’t need any complex participation from end users.The algorithm is suitable for those who can provide positioning service in some special locations.Through the deployment of dedicated hot spots,it will reduce the environment interference and improve the quality of location-based service.…”
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Electricity Demand Projection Using a Path-Coefficient Analysis and BAG-SA Approach: A Case Study of China by Qunli Wu, Chenyang Peng

“…The proposed BAG-SA algorithm not only inherits the simplicity and efficiency of the standard BA with a capability of searching for global optimality but also enhances local search ability and speeds up the global convergence rate. …”
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Research on the application of weighted-Laguerre-FDTD method with “unidirectional explicit” matrix in cylindrical structure by Dawei ZHU, Hailin CHEN, Zhongwen SHEN, Xiuling JIA, Zhen LI

“…To solve the shortcomings of FDTD algorithm in electromagnetic wave propagation in communication applications.A FDTD algorithm under “unidirectional explicit” matrix was constructed and applied to cylindrical structure.Firstly, a new coefficient matrix was established by the ideology of WCS and WLP.Secondly, the perturbation terms were introduced to form the initial value and iterative equations.Finally, the fields on the z axis were treated in special way.Numerical examples prove that the proposed algorithm is superior to the WCS-FDTD and WLP-FDTD in electromagnetic wave propagation.The best improvement efficiency is 83%, accuracy is 88%, and memory consumption is reduced by 44%.Meanwhile, comparing with the conventional FDTD algorithm, it can improve the efficiency of 7 time steps size and reduce the memory consumption by 53% without losing accuracy.Moreover, under the boundary truncation of the PML, the proposed algorithm also shows good electromagnetic wave energy absorption performance, which can reach below -60 dB.…”
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Spectrum resource allocation for high-throughput satellite communications based on behavior cloning by QIN Hao, LI Shuangyi, ZHAO Di, MENG Haowei, SONG Bin

“…Simulation results demonstrate that the proposed algorithm outperforms the benchmark algorithms in terms of convergence speed and algorithm stability, and also delivers superior performance in system delay, average system satisfaction, and spectrum efficiency.…”
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Research on Sleeper Detection Scheme Based on Image and Laser Multi-data Fusion by LIU Yuanming, ZHANG Lei

“…In this paper, aiming at the problem of automatic detection and identification of track sleepers for a large-scale tamping machine, an automatic detection algorithm for track sleepers based on multi-dimensional sensor data fusion algorithm is proposed. …”
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An Efficient Collision Detection Method for Computing Discrete Logarithms with Pollard's Rho by Ping Wang, Fangguo Zhang

“…Besides the theoretical analysis, we also compare the performances of the new algorithm with the distinguished point method in experiments with elliptic curve groups. …”
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Target Tracking via Particle Filter and Convolutional Network by Hongxia Chu, Kejun Wang, Xianglei Xing

“…It not only increases the feature invariance, but also maintains the specificity. The extracted feature from convolution network is introduced into particle filter algorithm. …”
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Approach to worm early warning based on local victim behavior by TIAN Jun-feng, ZHANG Chi, LIU Tao, LI Ning

“…Traditional algorithm to scanning worms early warning can’t be used to distinguish P2P activity which can produce infection-like traffic,it also can’t be used to forecast the multivector worms which propagation by exploits several vulnerabilities.To settle this problem,an improved algorithm was developed and an early warning model was established based on the algorithm.At last,the feasibility of this method was analysed,by comparing with existing methods,the new approach become more efficient,and had the characteristic of issuing warning at the early stage of worm propagation.…”
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Optimization of Vehicle Routing with Pickup Based on Multibatch Production by Hongtao Hu, Jiao Mo, Chengle Ma

“…Following this, a two-stage hybrid heuristic algorithm is proposed to solve this model. In the first stage, an integrated algorithm, combining the Clarke-Wright (CW) algorithm and the Record to Record (RTR) travel algorithm, was used to solve vehicle routing problem. …”
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Intelligent data analysis based on natural language processing technology in educational evaluation by Ruili Zheng

“…In order to improve the data processing effect and functionality of educational evaluation model, this paper proposes an FR-Apriori algorithm. By combining the MapReduce framework, the FR-Apriori algorithm can distribute calculations on multiple nodes, which improves the overall running efficiency of the algorithm. …”
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An efficient method for mining frequent weighted subgraphs based on weighted edges by Lam B. Q. Nguyen, Nhan H. Vo, Nhung N. Chau, Bay Vo

“…Since the GraMi algorithm was introduced to mine frequent subgraphs, many other algorithms based it have also been published. …”
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Improving Model-Based Deep Reinforcement Learning with Learning Degree Networks and Its Application in Robot Control by Guoqing Ma, Zhifu Wang, Xianfeng Yuan, Fengyu Zhou

“…This model’s performance also suffers due to low utilization of training data, while the model-based reinforcement learning (MBRL) algorithm improves the efficiency of the data, MBRL locks into low prediction accuracy. …”
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Posture Recognition and Behavior Tracking in Swimming Motion Images under Computer Machine Vision by Zheng Zhang, Cong Huang, Fei Zhong, Bote Qi, Binghong Gao

“…The experimental results show that the target tracking and detection method can obtain the movement form of the template object relatively completely, and the kernel-related filter tracking algorithm can also obtain the movement speed of the target object finely. …”
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Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data by Guocheng Qin, Yin Zhou, Kaixin Hu, Daguang Han, Chunli Ying

“…Another algorithm for extracting the geometric features of the bridge point cloud is also proposed; this algorithm is effective for partially missing point clouds. …”
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Hybrid Optimization Method for Social Internet of Things Service Provision Based on Community Detection by Bahar Allakaram Tawfeeq, Amir Masoud Rahmani, Abbas Koochari, Nima Jafari Navimipour

“…Traditional optimization algorithms have strengths and weaknesses. For example, a genetic algorithm (GA) can find global optima but suffer from diversity disappearing prematurely, whereas a backtracking search algorithm (BSA) offers better global exploration but converges more slowly. …”
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A pose generation model for animated characters based on DCNN and PFNN by Boli Wang

“…In terms of human pose orientation classification, the average accuracy and precision of the raised algorithm are 98.09 % and 97.41 %, respectively, which are also higher than other models. …”
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Dynamic programming in applied tasks which are allowing to reduce the options selection by D. A. Karpov, V. I. Struchenkov

“…Bellmanʼs algorithm, but also actually hopeless states and all variants of paths emanating from them. …”
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