全通系统

地震反演中，传统反卷积方法对混合相位地震记录不能得到正确的反演结果，本文在格形反卷积的基础上运用全通系统辨识技术，很好地解决了这一问题。

Traditional deconvolution methods , such as lattice deconvolution , can 't give the proper inversion to a mixed phase seismic record , this paper solved this problem by using all-pass system identification technique based on higher-order cumulant .

同时，本文对归一化格型结构进行了舍入噪声增益分析并给出表达式，结合全通系统的特点，导出了一种具有很低复杂度的复合结构。

Moreover , the expression of roundoff noise gain for the normalized lattice structure is de-rived , based on which it is shown that an all-pass system , when implemented using the normalized lattice structure , yields a very low roundoff noise gain .

本文在引用了均匀滤波器组的时域完全重构条件的基础上，利用满足Bark尺度的全通系统，进行线性频率和弯曲频率之间的变换，提出了满足听觉感知模型的完全重构非均匀滤波器组的结构。

Based on the PR condition of uniform filter banks in the time-domain , this paper puts forward the structure of PR non - uniform filter banks , which satisfied auditory models . The transform from linear-frequency to warped-frequency utilizes the all-pass system satisfied the Bark scale .

弯折离散傅里叶变换的全通系统函数分析

Analysis on Allpass System Function of Warped Discrete Fourier Transform