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在利用面波频散数据反演介质S波速度结构的过程中，引入奇异值分解方法计算随机逆，利用Wiggins方法对较大奇异值修改和随机逆方法对较小奇异值修改的优点，协调了分辨率和解的关系，改进了随机逆解的精确性和稳定性．模型试算表明，该方法反演所得结果较Harkrider的程序反演结果精确，分辨率更高．
In the process of using the surface wave dispersion data to invert the S-wave velocity structure of the medium, the singular value decomposition method is introduced to calculate the random inversions. The Wiggins method is used to reconcile the advantages of larger singular values and random inversions to smaller singular values. The relationship between resolution and solution improves the accuracy and stability of stochastic inverse solution. The model trial shows that the inversion result of this method is more accurate and the resolution is higher than that of Harkrider’s method.