An efficient algorithm for large-scale volume data compression and its application in seismic data processing

被引：0
|
作者：
Zhao, Liping [1 ,2 ]
Xiao, Degui [2 ]
Li, Kenli [2 ]
Yue, Guangxue [1 ,2 ]
Peng, Chengbin [3 ]
机构：
[1] School of Mathematics and Information Engineering, Jiaxing University, Jiaxing 314000, China
[2] School of Computer and Communication, Hunan University, Changsha 410082, China
[3] Royal Dutch Shell, Huston, TX77478, United States
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2009年 / 21卷 / 11期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
12
引用
收藏
页码：1606 / 1611
相关论文
共 50 条
  • [21] Research on a Distributed Processing Model Based on Kafka for Large-Scale Seismic Waveform Data
    Chai, Xu-Chao
    Wang, Qing-Liang
    Chen, Wen-Sheng
    Wang, Wen-Qing
    Wang, Dan-Ning
    Li, Yue
    IEEE ACCESS, 2020, 8 (08): : 39971 - 39981
  • [22] Efficient algorithm of multidimensional deconvolution and its application to nuclear data processing
    Morhác, M
    Matousek, V
    Kliman, J
    DIGITAL SIGNAL PROCESSING, 2003, 13 (01) : 144 - 171
  • [23] Parallel Tensor Compression for Large-Scale Scientific Data
    Austin, Woody
    Ballard, Grey
    Kolda, Tamara G.
    2016 IEEE 30TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2016), 2016, : 912 - 922
  • [24] Polynomial Data Compression for Large-Scale Physics Experiments
    Aubert P.
    Vuillaume T.
    Maurin G.
    Jacquemier J.
    Lamanna G.
    Emad N.
    Computing and Software for Big Science, 2018, 2 (1)
  • [25] An efficient algorithm for dense regions discovery from large-scale data streams
    Yip, AM
    Wu, EH
    Ng, MK
    Chan, TF
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2004, 3056 : 116 - 120
  • [26] Efficient and Portable Distribution Modeling for Large-Scale Scientific Data Processing with Data-Parallel Primitives
    Yang, Hao-Yi
    Lin, Zhi-Rong
    Wang, Ko-Chih
    ALGORITHMS, 2021, 14 (10)
  • [27] Automated Parallel Data Processing Engine with Application to Large-scale Feature Extraction
    Xing, Xin
    Dong, Bin
    Ajo-Franklin, Jonathan
    Wu, Kesheng
    PROCEEDINGS OF 2018 IEEE/ACM MACHINE LEARNING IN HPC ENVIRONMENTS (MLHPC 2018), 2018, : 37 - 46
  • [28] Experiences in large-scale volume data visualization with RVSLIB
    Doi, S
    Takei, T
    Matsumoto, H
    COMPUTER GRAPHICS-US, 2001, 35 (02): : 10 - 13
  • [29] Application-Driven Compression for Visualizing Large-Scale Time-Varying Data
    Wang, Chaoli
    Yu, Hongfeng
    Ma, Kwan-Liu
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2010, 30 (01) : 59 - 69
  • [30] Large-Scale Data Processing for Information Retrieval Applications
    Khandel, Pooya
    PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023, 2023, : 3489 - 3489
12345