Based on the features of deconvolution filter, this result is extended to other types of deconvolution filter, and corresponding formulae are given.
又根据数字反卷积滤波器的特点，将这一结果推广到其他类型的反卷积滤波器，并给出了相应的表达式。
Using the modern time series analysis method, this paper presents a new self - tuning deconvolution filter for unknown multivariable ARMA signal observed through a known linear system.
本文用现代时间序列分析方法，对于通过已知线性系统被观测的未知多变量arma信号，提出了一种新的自校正去卷滤波器。
The deconvolution filter is made up of an output observer and a linear mapping, where the latter reflects the internal connection between the unknown input signals and the output estimate error.
反卷积滤波器的结构等效于输出观测器和一个线性映射，该线性映射反映了未知输入与输出估计误差之间的内在联系。
The deconvolution filter is made up of an output observer and a linear mapping, where the latter reflects the internal connection between the unknown input signals and the output estimate error.
反卷积滤波器的结构等效于输出观测器和一个线性映射，该线性映射反映了未知输入与输出估计误差之间的内在联系。
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