The parameter estimation problem to the invertible vector moving average (ma) model essentially is a matrix spectral factorization problem.
可逆的向量滑动平均(MA)模型参数估计问题本质上是一个矩阵谱分解问题。
It is known by correlation with drilling data that the spectral factorization can describe the boundaries of strong reflection and weak reflection in different frequencies.
通过与钻井资料对比可知，频谱分解技术可以刻画不同频率强反射、弱反射的边界。
It is known by correlation with drilling data that the spectral factorization can describe the boundaries of strong reflection and weak reflection in different frequencies.
通过与钻井资料对比可知，频谱分解技术可以刻画不同频率强反射、弱反射的边界。
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