Q estimation based on the logarithmic spectral area double difference

What is it about?

We propose the LSADD method, which sets a division point to divide the logarithmic spectral area difference (LSAD) into two parts and utilizes their difference to estimate the Q factor. Multiple division points are then selected and the obtained Q values are averaged to yield a final estimate, thereby improving noise robustness. Numerical experiments and comparative analysis clarify the benefits of our method, and field data processing indicates that this method can effectively estimate the Q factor.

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