Abstract
To overcome the difficulties of layered Q modeling for layered inverse Q filtering in actual data processing, a frequency domain inverse Q filtering method based on effective quality factor was proposed. This method can be applied to the visco-elastic medium in which the effective quality factor vary weakly in horizontal direction. A threshold constrained, high frequency maintained stabilization controlling strategy was represented to ensure the stability of arithmetic in actual data processing. Some influential factors, such as Signal-to-Noise ratio, the accuracy of effective quality factor, threshold size, tuning parameters selection, that impact compensation effect of inverse Q filtering are researched. This research can provide beneficial guidance for using inverse Q filtering correctly in actual data processing.
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© 2013 Springer-Verlag London
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Li, X., Wen, H., Fan, G. (2013). Influential Factors Analysis of Frequency Domain Inverse Q Filtering Based on Effective Quality Factor. In: Du, W. (eds) Informatics and Management Science III. Lecture Notes in Electrical Engineering, vol 206. Springer, London. https://doi.org/10.1007/978-1-4471-4790-9_6
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DOI: https://doi.org/10.1007/978-1-4471-4790-9_6
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Online ISBN: 978-1-4471-4790-9
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