  Urban areas pose a challenge for the application of the H/V method due to a
high degree of artificial noise. The existing methods fall short in reducing
the noise of strong interference data. To solve this issue, a new approach
called the HVSR curve reconstruction method is introduced in this paper. The
method employs the UPEMD technique to analyze the data component, and the
extracted signal is evaluated based on the correlation coefficient between the
IMFs and the original micro-motion data, trend extraction of micro-motion data,
and secondary extraction. This signal is then utilized to retrieve information
about the layers, and the effectiveness of the proposed method is demonstrated.
