Computer Science ›› 2020, Vol. 47 ›› Issue (11): 304-309.doi: 10.11896/jsjkx.200600167
• Computer Network • Previous Articles Next Articles
XU Feng1, SUN Jie2,3, LIU Shi-jie2,3
CLC Number:
[1] SUN J,YU J,ZHANG A,et al.Underwater acoustic intensity field reconstruction by kriged compressive sensing[C]//Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems.ACM,2018-Shenzhen:1-5. [2] CAO H.Study on Compressed sensing observation method of underwater target active acoustic signal[D].Hangzhou:Hangzhou Dianzi University,2019. [3] CANDÈS E J,ROMBERG J,TAO T.Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactions on Information Theory,2006,52(2):489-509. [4] LIU H Y.Research on Hyperspectral image reconstruction and Super-Resolution imaging technique based on compressive sensing[D].Xi'an:Xidian University,2014. [5] CONG S,ZHANG J J.Compressive sensing theory,optimization algorithm and application in system state reconstruction[J].Information and Control,2017,46(3):267-274. [6] LI P,YANG Y X.Compressed sensing based acoustic data compression and reconstruction technology[J].Technical Acoustics,2014,33(1):14-20. [7] LI J,LIN Q H,YANG X T,et al.Method of underwater target passive ranging based on compressed sensing[J].Information and Control,2019,48(1):9-15. [8] WANG Q,ZHANG N W,ZHANG J C,et al.Compressedsensing for data collection in wireless sensor network[J].Chinese Journal of Sensors and Actuators,2014,27(11):1562-1567. [9] ZHANG B,LIU Y L,WANG K,et al.Compressive data gath-ering method based on probabilistic sparse random matrices[J].Journal of Electronics & Information Technology,2013,36(4):834-839. [10] BINGHAM B,KRAUS N,HOWE B,et al.Passive and active acoustics using an autonomous wave glider[J].Journal of field robotics,2012,29(6):911-923. [11] YAN S X,LI Y P,FENG X S.An AUV Adaptive sampling method based on gaussian process regression[J].ROBOT,2019,41(2):232-241. [12] LIU S,SUN J,YU J,et al.Sampling optimization for networked underwater gliders[C]//OCEANS 2016-Shanghai.IEEE,2016:1-4. [13] CHEN B,PANDEY P,POMPILI D.A distributed adaptivesampling soluting using autonomous underwater vehicles[C]//Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems.ACM,2012:29. [14] HUMMEL R,PODURI S,HOVER F,et al.Mission design for compressive sensing with mobile robots[C]//2011 IEEE International Conference on Robotics and Automation.IEEE,2011:2362-2367. [15] HOVER F S,HUMMEL R,MITRA U,et al.One-step-ahead kinematic compressive sensing[C]//2011 IEEE GLOBECOM Workshops (GC Wkshps).IEEE,2011:1314-1319. [16] CANDÈS E J.The restricted isometry property and its implications for compressed sensing[J].Comptes rendus mathematique,2008,346(9/10):589-592. [17] CANDÈS E J,ROMBERG J K,TAO T.Stable signal recovery from incomplete and inaccurate measurements[J].Communications on Pure and Applied Mathematics:A Journal Issued by the Courant Institute of Mathematical Sciences,2006,59(8):1207-1223. [18] CANDÈS E,ROMBERG J.Sparsity and incoherence in com-pressive sampling[J].Inverse problems,2007,23(3):969-985. [19] MIAO Z H,SUN X D,SHAO C.An Adaptive Genetic Algorithm with Parallel Mutation and Its Performance Evaluation[J].Information and control,2016,45(2):142-150. [20] FROLOV S,GARAU B,& BELLINGHAM J.Can we do better than the grid survey:Optimal synoptic surveys in presence of variable uncertainty and decorrelation scales[J].Journal of Geophysical Research:Oceans,2014,119(8):5071-5090. [21] CANDÈS E J,WAKIN M B.An introduction to compressivesampling[J].IEEE Signal Processing Magazine,2008,25(2):21-30. [22] MILLER P A,FARRELL J A,ZHAO Y,et al.Autonomousunderwater vehicle navigation[J].IEEE Journal of Oceanic Engineering,2010,35(3):663-678. |
[1] | TIAN Wei, LIU Hao, CHEN Gen-long, GONG Xiao-hui. Cross Subset-guided Adaptive Measurement for Block Compressive Sensing [J]. Computer Science, 2020, 47(12): 190-196. |
[2] | JIANG Min, MENG Zhi-qing, SHEN Rui. Alternate Random Search Algorithm of Objective Penalty Function for Compressed Sensing Problem [J]. Computer Science, 2019, 46(6A): 133-137. |
[3] | SONG Xiao-xiang, GUO Yan, LI Ning, WANG Meng. Missing Data Prediction Based on Compressive Sensing in Time Series [J]. Computer Science, 2019, 46(6): 35-40. |
[4] | WU Jian, SUN Bao-ming. Dictionary Refinement-based Localization Method Using Compressive Sensing inWireless Sensor Networks [J]. Computer Science, 2019, 46(4): 118-122. |
[5] | YANG Si-xing, GUO Yan, LI Ning, SUN Bao-ming, QIAN Peng. Compressive Sensing Multi-target Localization Algorithm Based on Data Fusion [J]. Computer Science, 2018, 45(9): 161-165. |
[6] | GUO Yan, YANG Si-xing, LI Ning, SUN Bao-ming, QIAN Peng. Range-free Localization Based on Compressive Sensing Using Multiple Measurement Vectors [J]. Computer Science, 2018, 45(7): 99-103. |
[7] | WANG Fu-chi,ZHAO Zhi-gang,LIU Xin-yue,LV Hui-xian,WANG Guo-dong,XIE Hao. Improved Sparsity Adaptive Matching Pursuit Algorithm [J]. Computer Science, 2018, 45(6A): 234-238. |
[8] | DU Xiu-li, GU Bin-bin, HU Xing, QIU Shao-ming and CHEN Bo. Support Similarity between Lines Based CoSaMP Algorithm for Image Reconstruction [J]. Computer Science, 2018, 45(4): 306-311. |
[9] | TONG Xiao-hong and TANG Chao. Robotic Fish Tracking Method Based on Suboptimal Interval Kalman Filter [J]. Computer Science, 2018, 45(2): 114-120. |
[10] | HUANG Zhi-qing, LI Meng-jia, TIAN Rui, ZHANG Yan-xin, WANG Wei-dong. Dynamic Data Compression Strategy Based on Internet of Vehicle [J]. Computer Science, 2018, 45(11): 304-311. |
[11] | YANG Si-xing, GUO Yan, LIU Jie and SUN Bao-ming. Dynamic Grid Based Sparse Target Counting and Localization Algorithm Using Compressive Sensing [J]. Computer Science, 2018, 45(1): 223-227. |
[12] | MENG Zhi-qing, XU Lei-yan, JIANG Min and SHEN Rui. Equivalent Representation of Compressed Sensing Optimization Problem and Its Penalty Function Method [J]. Computer Science, 2017, 44(Z6): 97-98. |
[13] | QIN Xu-jia, SHAN Yang-yang, XIAO Jia-ji, ZHENG Hong-bo and ZHANG Mei-yu. Self-learning Single Image Super-resolution Reconstruction Based on Compressive Sensing and SVR [J]. Computer Science, 2017, 44(Z11): 169-174. |
[14] | ZHOU Chun-jia, SUN Quan-sen and LIU Ji-xin. Method to Generate Diagonalizable LDPC Measurement Matrix Based on Compressive Sensing [J]. Computer Science, 2017, 44(7): 279-282. |
[15] | ZHAO Hui-min, PEI Zhen-zhen, CAI Zheng-ye, WANG Chen, DAI Qing-yun and WEI Wen-guo. Video Distributed Compressive Sensing Research Based on Multihypothesis Predictions and Residual Reconstruction [J]. Computer Science, 2017, 44(6): 317-321. |
|