【摘要】 提出一种在时间域采用最大熵谱反褶积提取台站接收函数的方法 ,以最大熵作为自相关函数和互相关函数的递推准则 ,利用Toeplitz方程及Levinson递推算法 ,得到预测误差滤波系数的递推公式 ,从而计算台站接收函数 .外推运算过程中 ,反射系数总是小于 1,保证了最大熵谱反褶积的稳定性 .时窗外数据熵极大提高了接收函数的分辨率 .合成地震图与实测地震图的检验表明 ,最大熵谱反褶积是一种在时间域测定台站接收函数的有效方法 .更多还原

【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 then 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.更多还原