Abstract
Maximum entropy deconvolution is presented to estimate receiver function, with the maximum entropy as the rule to determine auto-correlation and cross-correlation functions. The Toeplitz equation and Levinson algorithm are used to calculate the iterative formula of error-predicting filter, and receiver function is then estimated. During extrapolation, reflective coefficient is always less than 1, which keeps maximum entropy deconvolution stable. The maximum entropy of the data outside window increases the resolution of receiver function. Both synthetic and real seismograms show that maximum entropy deconvolution is an effective method to measure receiver function in time-domain.
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Foundation item: State Natural Science Foundation of China (49974021).
Contribution No. 03FE1011, Institute of Geophysics, China Seismological Bureau.
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Wu, Qj., Tian, Xb., Zhang, Nl. et al. Receiver function estimated by maximum entropy deconvolution. Acta Seimol. Sin. 16, 404–412 (2003). https://doi.org/10.1007/s11589-003-0073-y
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DOI: https://doi.org/10.1007/s11589-003-0073-y