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
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2008年 / 44卷 / 03期
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
  • [41] Geometric Approximations of Heavy-Tail Effects for Chi-Square Integrity Monitors
    Rife, Jason H.
    Parker, John Scott
    PROCEEDINGS OF THE 2017 INTERNATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION, 2017, : 536 - 561
  • [42] Comparing Geometric Approximations of Heavy-Tail Effects for Chi-Square Integrity Monitors
    Rife, Jason H.
    Parker, John Scott
    NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION, 2018, 65 (03): : 363 - 376
  • [43] Non-directed polymers in heavy-tail random environment in dimension d ≥ 2
    Berger, Quentin
    Torri, Niccolo
    Wei, Ran
    ELECTRONIC JOURNAL OF PROBABILITY, 2022, 27
  • [44] Heavy-tail and voice over internet protocol traffic: queueing analysis for performance evaluation
    Mahani, A.
    Kavian, Y. S.
    Naderi, M.
    Rashvand, H. F.
    IET COMMUNICATIONS, 2011, 5 (18) : 2736 - 2743
  • [45] Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models
    Fung, Tsz Chai
    INSURANCE MATHEMATICS & ECONOMICS, 2022, 107 : 180 - 198
  • [46] A New Bimodal Distribution for Modeling Asymmetric Bimodal Heavy-Tail Real Lifetime Data
    Butt, Nadeem S.
    Khalil, Mohamed G.
    SYMMETRY-BASEL, 2020, 12 (12): : 1 - 27
  • [47] Interconnected Risk Contributions: A Heavy-Tail Approach to Analyze U.S. Financial Sectors
    Bernardi, Mauro
    Petrella, Lea
    JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2015, 8 (02) : 198 - 226
  • [48] Bounds for mixing times for finite semi-Markov processes with heavy-tail jump distribution
    Nicos Georgiou
    Enrico Scalas
    Fractional Calculus and Applied Analysis, 2022, 25 : 229 - 243
  • [49] A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution
    Domingues, Marco A. O.
    de Souza, Renata M. C. R.
    Cysneiros, Francisco Jose A.
    ADVANCES IN NEURO-INFORMATION PROCESSING, PT II, 2009, 5507 : 19 - 26
  • [50] Systematic inference of the long-range dependence and heavy-tail distribution parameters of ARFIMA models
    Graves, Timothy
    Franzke, Christian L. E.
    Watkins, Nicholas W.
    Gramacy, Robert B.
    Tindale, Elizabeth
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 473 : 60 - 71
12345