Computer Science ›› 2020, Vol. 47 ›› Issue (11): 327-332.doi: 10.11896/jsjkx.190900019
• Computer Network • Previous Articles
TIAN Chun-yuan, YU Jiang, CHANG Jun, WANG Yan-shun
CLC Number:
[1] STUDER C,MEDJKOUH S,GONULTAS E,et al.ChannelCharting:Locating Users Within the Radio Environment Using Channel State Information[J].IEEE Access,2018,6:47682-47698. [2] NAKATANI T,MAEKAWA T,SHIRAKAWA M,et al.Esti-mating the Physical Distance between Two Locations with Wi-Fi Received Signal Strength Information Using Obstacle-aware Approach[J].Proceedings of the ACM on Interactive,Mobile,Wearable and Ubiquitous Technologies,2018,2(3):1-26. [3] MA J,WANG H,ZHANG D,et al.A Survey on Wi-Fi Based Contactless Activity Recognition[C]//Ubiquitous Intelligence &Computing,Advanced & Trusted Computing,Scalable Computing & Communications,Cloud & Big Data Computing,Internet of People,& Smart World Congress.IEEE,2017. [4] QIAN K,WU C,YANG Z,et al.Widar:Decimeter-Level Pas-sive Tracking via Velocity Monitoring with Commodity Wi-Fi[C]//Acm International Symposium.ACM,2017. [5] YANG Z,LIU Y H.WiFi radar:from RSSI to CSI[J].ChinaComputer Society Newsletter,2014,10(11):55-60. [6] ZHOU Z,ZHENG Y,WU C,et al.LiFi:Line-Of-Sight identification with WiFi[C]//IEEE Conference on Computer Communications.2014. [7] WU C,ZHENG Y,ZHOU Z,et al.PhaseU:Real-time LOS identification with WiFi[C]//Computer Communications.2015. [8] XIAO F,GUO Z,ZHU H,et al.AmpN:Real-time LOS/NLOS identification with WiFi[C]//2017 IEEE International Conference on Communications (ICC).IEEE,2017. [9] CHOI J S,LEE W H,LEE J H,et al.Deep Learning BasedNLOS Identification With Commodity WLAN Devices[J].IEEE Transactions on Vehicular Technology,2018,67(4):3295-3303. [10] GADANAYAK D A,MALLICK R K.Interharmonics basedhigh impedance fault detection in distribution systems using maximum overlap wavelet packet transform and a modified empirical mode decomposition[J].International Journal of Electrical Power and Energy Systems,2019,112:282-293. [11] CHEN G,LI Q Y,LI D Q,et al.Main frequency band of blastvibration signal based on wavelet packet transform[J].Applied Mathematical Modelling,2019,74:569-585. [12] QUAN B,ZHU F,KANG Y,et al.Power Spectral Density Estimation of Seismic Wave Based on Wavelet Transform[C]//Control & Decision Conference.2008. [13] DODIA S,EDLA D R,BABLANI A,et al.An efficient EEG based deceit identification test using wavelet packet transform and linear discriminant analysis[J].Journal of Neuroscience Methods,2019,314:31-40. [14] LI M A,SUN M,SUN Y J.EEG feature extraction methodbased on wavelet packet and deep belief network[J].Journal of Electronic Measurement and Instrument,2018,32(1):111-118. [15] SANJEEV K,AMARPAL S,MANOJ K.Covert communication integrates into wavelet packet transform OFDM system over Rayleigh fading channel[J].Wireless Networks,2020,26:81-89. [16] MA Y,ZHOU G,WANG S.WiFi Sensing with Channel State Information:A Survey[J].ACM Computing Surveys,2019,52(3):1-36. [17] WANG S H,ZHANG Y D,DONG Z,et al.Wavelet Familiesand Variants[M]//Pathological Brain Detection.2018. [18] SUI X,WAN K,ZHANG Y.Pattern recognition of SEMGbased on wavelet packet transform and improved SVM[J].Optik-International Journal for Light and Electron Optics,2019,176:228-235. [19] WANG Y,GONG D,PANG L,et al.RVFL-Based Optical Fiber Intrusion Signal Recognition With Multi-Level Wavelet Decomposition as Feature[J].Photonic Sensors,2018,8(3):234-241. [20] DIBAL P Y,ONWUKA E N,AGAJO J,et al.Application ofwavelet transform in spectrum sensing for cognitive radio:A survey[J].Physical Communication,2018,28:45-57. [21] MASOUD A,HASHIM H,MOHAMMAD L O,et al.An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network[J].Energies,2018,11(10):2701. [22] ZHOU R,LU X,ZHAO P,et al.Device-Free Presence Detection and Localization With SVM and CSI Fingerprinting[J].IEEE Sensors Journal,2017,17(23):7990-7999. [23] NIU K,ZHANG F,XIONG J,et al.Boosting fine grained activity sensing by embracing wireless multipath effects[C]//Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies.ACM,2018:139-151. |
[1] | ZHANG Yuan, KANG Le, GONG Zhao-hui, ZHANG Zhi-hong. Related Transaction Behavior Detection in Futures Market Based on Bi-LSTM [J]. Computer Science, 2022, 49(7): 31-39. |
[2] | ZENG Zhi-xian, CAO Jian-jun, WENG Nian-feng, JIANG Guo-quan, XU Bin. Fine-grained Semantic Association Video-Text Cross-modal Entity Resolution Based on Attention Mechanism [J]. Computer Science, 2022, 49(7): 106-112. |
[3] | CHENG Cheng, JIANG Ai-lian. Real-time Semantic Segmentation Method Based on Multi-path Feature Extraction [J]. Computer Science, 2022, 49(7): 120-126. |
[4] | LIU Wei-ye, LU Hui-min, LI Yu-peng, MA Ning. Survey on Finger Vein Recognition Research [J]. Computer Science, 2022, 49(6A): 1-11. |
[5] | HOU Xia-ye, CHEN Hai-yan, ZHANG Bing, YUAN Li-gang, JIA Yi-zhen. Active Metric Learning Based on Support Vector Machines [J]. Computer Science, 2022, 49(6A): 113-118. |
[6] | SHAN Xiao-ying, REN Ying-chun. Fishing Type Identification of Marine Fishing Vessels Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm [J]. Computer Science, 2022, 49(6A): 211-216. |
[7] | CHEN Jing-nian. Acceleration of SVM for Multi-class Classification [J]. Computer Science, 2022, 49(6A): 297-300. |
[8] | QING Chao-jin, DU Yan-hong, YE Qing, YANG Na, ZHANG Min-tao. Enhanced ELM-based Superimposed CSI Feedback Method with CSI Estimation Errors [J]. Computer Science, 2022, 49(6A): 632-638. |
[9] | GAO Yuan-hao, LUO Xiao-qing, ZHANG Zhan-cheng. Infrared and Visible Image Fusion Based on Feature Separation [J]. Computer Science, 2022, 49(5): 58-63. |
[10] | XING Yun-bing, LONG Guang-yu, HU Chun-yu, HU Li-sha. Human Activity Recognition Method Based on Class Increment SVM [J]. Computer Science, 2022, 49(5): 78-83. |
[11] | ZUO Jie-ge, LIU Xiao-ming, CAI Bing. Outdoor Image Weather Recognition Based on Image Blocks and Feature Fusion [J]. Computer Science, 2022, 49(3): 197-203. |
[12] | REN Shou-peng, LI Jin, WANG Jing-ru, YUE Kun. Ensemble Regression Decision Trees-based lncRNA-disease Association Prediction [J]. Computer Science, 2022, 49(2): 265-271. |
[13] | ZHANG Shi-peng, LI Yong-zhong. Intrusion Detection Method Based on Denoising Autoencoder and Three-way Decisions [J]. Computer Science, 2021, 48(9): 345-351. |
[14] | FENG Xia, HU Zhi-yi, LIU Cai-hua. Survey of Research Progress on Cross-modal Retrieval [J]. Computer Science, 2021, 48(8): 13-23. |
[15] | WANG Chi, CHANG Jun. CSI Cross-domain Gesture Recognition Method Based on 3D Convolutional Neural Network [J]. Computer Science, 2021, 48(8): 322-327. |
|