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Abstract

Summary

This paper focuses on order statistic selection filters, where the filter output is restricted to be one of the input samples. In particular, we treat class of Weighted Order Statistic (WOS) filters, and the special filter class of Co-phased (CoPh WOS) filters. In the general case, the WOS filters possess a number of advantages in comparison with other filters, in particular, detail and edge preserving filters that are robust to outliers and sample contamination can be constructed. However, WOS filters are nonlinear and a theoretical analysis of their behavior is very difficult. Therefore, the using of the method of statistical trials for selecting the most effective project of the WOS filters (Data Mining) is drawing attention. Since this is time expensive, the increasing of computational productivity is of interest. In this paper, the technique of order filters adaptation invoking a method of statistical trials is considered, the approach to the attract graphical processors is presented, and results of processing a model of record of vibroseismic data are demonstrated.

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/content/papers/10.3997/2214-4609.201800112
2018-04-09
2024-04-24

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References

  1. G.R.Arce
    . [1998] A general weighted median filters structure admitting negative weights, IEEE Transactions on signal processing, 46(12), pp 3195–3205.
     [Google Scholar]
  2. K.E.Barner and G.R.Arce
    . [1998] Order-statistic filtering and smoothing of time-series: Part II Handbook of Statistics, 17, pp 555–602. doi:10.1016/S0169‑7161(98)17023‑2. Rao and N.Balakrishnan, Editors.
     https://doi.org/10.1016/S0169-7161(98)17023-2 [Google Scholar]
  3. Duncan, G. and Beresford, G.
    [1995] Median filter behaviour with seismic data: Geophysical Prospecting, 43, pp 329–345.
     [Google Scholar]
  4. I.Pitas and A. N.Venetsanopoulos
    . [1989] Non-linear Filters, Kluwer,.
     [Google Scholar]
  5. J. W.Tukey
    [1974] Nonlinear (nonsuperimposable) methods for smoothing data,” in Conf. Rec., (Eascon),.
     [Google Scholar]
  6. Yin and Y.Neuvo
    . [1994] Fast adaptation and performance characteristics of fir-wos hybrid filters. IEEE Transactions on signal processing, 42(7), pp. 1610–1628.
     [Google Scholar]
  7. ZnakV.I.
    [2005] Co-Phased Median Filters, Some Peculiarities of Sweep Signal Processing // Mathematical Geology. 37(2), pp. 207–221.
     [Google Scholar]
  8. Znak, V.I.
    [2014] Some Questions of the Adapting the Order Filters to the Signal Form and Character of Noise, Proceedings of the “6th Saint Petersburg International Conference & Exhibition – Geosciences – Investing in the Future. Th P 10. Accessing the Proceedings interface via an Internet browserwww.earthdoc.org. ISBN: 978-90-73834-00-2, ISSN: 2214-4609.
     [Google Scholar]
  9. ЗнакВ.И.
    [2016] Порядковые фильтры: некоторые аспекты обработки периодических сигналов, 11-я Международная конференция «Интеллектуализация обработки информации», Москва, Россия – Барселона, Испания. Тезисы докладов, ТОРУС ПРЕСС МОСКВА2016.
     [Google Scholar]
  10. G.R.Arce
    . [1998] A general weighted median filters structure admitting negative weights, IEEE Transactions on signal processing, 46(12), pp 3195–3205.
     [Google Scholar]
  11. K. E.Barner and G. R.Arce
    . [1998] Order-statistic filtering and smoothing of time-series: Part II Handbook of Statistics, 17, pp 555–602. doi:10.1016/S0169‑7161(98)17023‑2. Rao and N.Balakrishnan, Editors.
     https://doi.org/10.1016/S0169-7161(98)17023-2 [Google Scholar]
  12. Duncan, G. and Beresford, G.
    [1995] Median filter behaviour with seismic data: Geophysical Prospecting, 43, pp 329–345.
     [Google Scholar]
  13. I.Pitas and A. N.Venetsanopoulos
    . [1989] Non-linear Filters, Kluwer,.
     [Google Scholar]
  14. J. W.Tukey
    [1974] Nonlinear (nonsuperimposable) methods for smoothing data,” in Conf. Rec., (Eascon),.
     [Google Scholar]
  15. Yin and Y.Neuvo
    . [1994] Fast adaptation and performance characteristics of fir-wos hybrid filters. IEEE Transactions on signal processing, 42(7), pp. 1610–1628.
     [Google Scholar]
  16. ZnakV. I.
    [2005] Co-Phased Median Filters, Some Peculiarities of Sweep Signal Processing // Mathematical Geology. 37(2), pp. 207–221.
     [Google Scholar]
  17. Znak, V.I.
    [2014] Some Questions of the Adapting the Order Filters to the Signal Form and Character of Noise, Proceedings of the “6th Saint Petersburg International Conference & Exhibition – Geosciences – Investing in the Future. Th P 10. Accessing the Proceedings interface via an Internet browserwww.earthdoc.org. ISBN: 978-90-73834-00-2, ISSN: 2214-4609.
     [Google Scholar]
  18. ZnakV.I.
    [2016] Poryadkovyye fil’try: nekotoryye aspekty obrabotki periodicheskikh signalov, 11-ya Mezhdunarodnaya konferentsiya «Intellektualizatsiya obrabotki informatsii», Moskva, Rossiya – Barselona, Ispaniya. Tezisy dokladov, TORUS PRESS MOSKVA2016.
     [Google Scholar]
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Order Filters: Some Aspects of the Intelligent Processing of Vibroseismic Research Data as Periodic Signals and Optimization of Their Performance
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201800112
/content/papers/10.3997/2214-4609.201800112
/content/papers/10.3997/2214-4609.201800112
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