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Order Filters: Some Aspects of the Intelligent Processing of Vibroseismic Research Data as Periodic Signals and Optimization of Their PerformanceNormal access

Authors: V. Znak, D. Karavaev and P. Titov
Event name: Saint Petersburg 2018
Session: Application of Seismic Data Processing
Publication date: 09 April 2018
DOI: 10.3997/2214-4609.201800112
Organisations: EAGE
Language: Russian
Info: Extended abstract, PDF ( 920.74Kb )
Price: € 20

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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