OPTIMIZATION OF ADAPTIVE MATCHING PURSUIT METHOD TO ANALYZE GEOACOUSTIC EMISSION SIGNALS
Journal Title: Вестник КРАУНЦ. Физико-математические науки - Year 2018, Vol 4, Issue
Abstract
The paper is devoted to the development and comparison of different numerical methods which increase the adaptive property and improve the accuracy of matching pursuit algorithm in connection to geoacoustic signals. At each step of adaptive matching pursuit, a function is chosen which has the highest correlation with an initial signal. Then parameters of a chosen function are refined. The refinement is performed by the help of different grid methods and methods based on gradient direction search.
Authors and Affiliations
Olga Lukovenkova, Yuri Marapulets, Alexander Tristanov, Alina Kim, Irina Kashutina
Keywords
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- EP ID EP505643
- DOI 10.18454/2079-6641-2018-24-4-197-207
- Views 93
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