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。
Based on the features of deconvolution filter, this result is extended to other types of deconvolution filter, and corresponding formulae are given.
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.
该方法是将拾振器的输出信号作为FIR横向滤波器的输入，用自适应rls算法对FIR横向滤波器系数进行辨识而最终获得可以恢复拾振器原始输入信号的反卷积滤波器。
The coefficients of the FIR transversal filter was identified by using adaptive RLS algorithm while the output signal of the vibration pick-up was input into the FIR transversal filter.
对改进算法中二次滤波的噪声方差参数选取采取一种计算反卷积剩余误差的方法，用在第二次滤波步骤中。
The paper also gives an algorithm for estimating the variance of the imaging noises by computing residual deconvolution errors, which is used in the second step of the modified Wiener filter.
它们可统一处理白噪声反卷积融合滤波、平滑和预报问题。
They can handle the white noise deconvolution fused filtering, smoothing and prediction problems in a unified framework.
在用带有噪声的信号进行反卷积时，没有严格的解，必须采用滤波器方能得到稳定、平滑的估计解。
When deconvoluting the signal with noise, there are no exact solutions, so we must use filter to get stable and smooth estimated solutions.
本文介绍了一种确定反卷积的最佳滤波参数的新方法。
In this paper, a new method to determine the optimum filtering parameters of deconvolution is presented.
本文介绍了一种确定反卷积的最佳滤波参数的新方法。
In this paper, a new method to determine the optimum filtering parameters of deconvolution is presented.
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