Constrained sparse spike inversion is conducted to predict the general distribution of reservoirs before GI, and the results including wavelet and 3D acoustic impedance(AI) can be used later.
在执行地质统计学反演前，首先应用稀疏脉冲约束反演，了解储层的大致分布，以求取子波和水平变差函数。
To deal with the similarity of spike temporal profile and frequency feature, a method was proposed to represent spike feature using wavelet analysis technique.
考虑到来自不同神经元的动作电位在时域或频域特征上的相似性，引入小波分析在时频域上对动作电位进行特征描述。
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