Snapshot-Instantaneous ∥•∥∞ Normalization Against Heavy-Tail Noise

被引:0
|
作者
He, Jin [1 ]
Liu, Zhong [1 ]
Wong, Kainam Thomas [2 ]
机构
[1] Nanjing Univ Sci & Technol, Dept Elect Engn, Nanjing 210094, Jiangsu, Peoples R China
[2] Hong Kong Polytech Univ, Elect & Informat Engn Dept, Kowloon, Hong Kong, Peoples R China
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A new data-dependent zero-memory preprocessing algorithm is proposed to mitigate additive heavy-tail noise and/or shot noise. Each sensor-array snapshot's spatial data vector is adaptively normalized by its infinity-norm. Zero cross-correlation is preserved between the signal-subspace and the noise-space.
引用
收藏
页码:1221 / 1227
页数:7
相关论文
共 50 条
  • [31] Estimation for non-negative time series with heavy-tail innovations
    Bartlett, A.
    McCormick, W. P.
    JOURNAL OF TIME SERIES ANALYSIS, 2013, 34 (01) : 96 - 115
  • [32] Estimating Heavy-Tail Exponents Through Max Self-Similarity
    Stoev, Stilian A.
    Michailidis, George
    Taqqu, Murad S.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2011, 57 (03) : 1615 - 1636
  • [33] A New Probability Heavy-Tail Model for Stochastic Modeling under Engineering Data
    El-Morshedy, M.
    Eliwa, M. S.
    Al-Bossly, Afrah
    Yousof, Haitham M.
    JOURNAL OF MATHEMATICS, 2022, 2022
  • [34] Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
    Deng, G
    2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 261 - 264
  • [35] Risk measure method expect return under heavy-tail distribution
    Wu, Qing-Xiao
    Liu, Hai-Long
    Xu, You-Chuan
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2009, 43 (04): : 521 - 525
  • [36] Long-range dependence and heavy-tail modeling for teletraffic data
    Cappé, O
    Moulines, E
    Pesquet, JC
    Petropulu, AP
    Yang, XS
    IEEE SIGNAL PROCESSING MAGAZINE, 2002, 19 (03) : 14 - 27
  • [37] Conditional heavy-tail behavior with applications to precipitation and river flow extremes
    Kinsvater, Paul
    Fried, Roland
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2017, 31 (05) : 1155 - 1169
  • [38] On the estimation of the heavy-tail exponent in time series using the max-spectrum
    Stoev, Stilian A.
    Michailidis, George
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2010, 26 (03) : 224 - 253
  • [39] Censoring heavy-tail count distributions for parameter estimation with an application to stable distributions
    Di Noia, Antonio
    Marcheselli, Marzia
    Pisani, Caterina
    Pratelli, Luca
    STATISTICS & PROBABILITY LETTERS, 2023, 202
  • [40] Estimation for a first-order bifurcating autoregressive process with heavy-tail innovations
    Bartlett, A.
    McCormick, W. P.
    STOCHASTIC MODELS, 2017, 33 (02) : 210 - 228