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 automatic filter and automatic frequency compensation techniques introduced by this paper are just for improving the conventional filter and deconvolution methods.
本文推出的自动滤波技术和自动频率补偿技术就是为了改进过去的滤波和反褶积技术所采取的新措施。
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.
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。
Wiener inverse filter is one of the deconvolution methods to renew echo for improving the vertical resolution.
维纳逆滤波是利用解卷积技术提高超声检测纵向分辨率的算法之一。
An improved spatial domain image deblurring algorithm is proposed based on wiener filter and deconvolution.
改进并提出了基于频域维纳滤波器方法的空域图象模糊复原算法。
Incremental Wiener filter is first applied to image deconvolution from wavefront sensing. Images of point sources indoors with aberration are processed and restored by incremental Wiener filters.
将增量维纳滤波法应用于基于哈特曼夏克波前探测的解卷积中，并对室内模拟点源情况下的三组畸变光斑图像数据进行了解卷积恢复处理。
Incremental Wiener filter is first applied to image deconvolution from wavefront sensing. Images of point sources indoors with aberration are processed and restored by incremental Wiener filters.
将增量维纳滤波法应用于基于哈特曼夏克波前探测的解卷积中，并对室内模拟点源情况下的三组畸变光斑图像数据进行了解卷积恢复处理。
应用推荐