本文叙述了反卷积的基本原理。
In this paper the basic principle of the deconvolution is described.
第一是含噪声的数字反卷积。
The first point we analyzed is the digital deconvolution with noise.
介绍一种适用于非线性系统的反卷积算法。
This paper presents a deconvolution algorithm for nonlinear system.
本文着重讨论了反卷积方法在脑激活定位中的应用。
We mainly focus on discussion of the application of inverse convolution method for the brain activation location.
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.
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.
白噪声反卷积问题在石油地震勘探中具有重要的应用背景。
The white noise deconvolution problem has important application background in oil seismic exploration.
该实验的设计基于事件相关设计，数据处理用反卷积的方法。
The experiment design is based on event related design. The method of its data process is deconvolution.
为了克服点扩展函数卷积造成的模糊，需要进行反卷积处理复原波形。
In order to deblur the image, deconvolution and waveform recovery are necessary. Deconvolution is an ill-posed problem. Bar code is a kind of bilevel waveform.
白噪声反卷积或输入白噪声估计问题在石油地震勘探中有重要的应用背景。
White noise deconvolution or input white noise estimation problem has important application background in oil seismic exploration.
白噪声反卷积问题在石油地震勘探、通信和信号处理领域有重要应用背景。
White noise deconvolution problem has important application backgrounds in oil seismic exploration, communication, and signal processing.
这些方法主要有光谱参数、连续背景扣除、高斯反卷积分析以及主成分分析。
These include continuum removal, Gaussian deconvolution, principal component analysis, and spectral parameters for compositional mapping.
最优加权融合算法将应用于多传感器arma信号分布式融合反卷积估值器。
A distributed fusion deconvolution for multichannel ARMA signal is given by using the optimal fusion weighting algorithm.
理论和实验结果表明，应用反卷积算法有利于光纤拉曼温度传感器对温度突变点的监测。
The results indicate that the deconvolution algorithm is a beneficial complement for the FRDTS to realize accurate locating and temperature monitoring for sharp temperature variations.
对实际测量数据进行处理表明，迭代正则化反卷积算法能够计算出固体电介质中的空间电荷分布。
Finally, the original experimental data are dealt with and the real space charge distribution in dielectrics is obtained.
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.
首先提出了一种解决盲辨识问题的算法，然后利用辨识得到的系统模型对源输入信号进行反卷积恢复。
The blind inverse identification arithmetic is proposed firstly, and then the input source signal is restored by the deconvolution method using the identified system model.
理论仿真结果表明，采用频域反卷积算法可以在不降低光源脉冲宽度的情况下，将空间分辨率提高四倍。
Numerical simulation shows that the spatial resolution is enhanced by four times using the frequency-domain deconvolution algorithm with high temperature accuracy.
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.
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.
本文提出了一种用窗口卷积实现反卷积的新算法，这种算法解决了用圆周卷积计算反卷积时出现的病态问题。
A new algorithm of deconvolution via window convolution operation is proposed, and the algorithm can solve the ill-posed problem occurring in deconvolution via circular convolution.
非线性算法包括参数盲反卷积（PBD）、迭代盲反卷积（IBD）、最大似然盲反卷积（MLBD）算法等。
The nonlinear methods include parametric blind deconvolution(PBD), iterative blind deconvolution(IBD), maximum likelihood blind deconvolution(MLBD), etc.
第3章研究和分析了基于小波的图像复原算法，包括小波域的阈值反卷积算法、迭代正则化算法和参数模型算法。
Chapter 3 studies and analyzes the wavelet-based image restoration algorithms, including threshold deconvolution algorithm, iterative regularization algorithm and parameter model algorithm.
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.
先验模糊辨识方法是先获得点扩展函数的信息后再进行图像恢复，而迭代盲目反卷积方法是同时估计出清晰图像和点扩展函数。
Priori Blur Identification gets the PSF before restoration implementation, while Iterative Blind Deconvolution estimates the true image and the PSF at the same time.
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.
根据HVS函数的特点，对频域中HVS函数进行反傅立叶变换，将空间域中该函数的部分函数值作为特定的模板参数，并与原图像进行卷积来实现边缘检测。
The HVS function, HVS function is inversely Fourier transformed in frequency domain, and the method is realized by calculating some value of the function in spacial domain as convolve nucleus.
根据HVS函数的特点，对频域中HVS函数进行反傅立叶变换，将空间域中该函数的部分函数值作为特定的模板参数，并与原图像进行卷积来实现边缘检测。
The HVS function, HVS function is inversely Fourier transformed in frequency domain, and the method is realized by calculating some value of the function in spacial domain as convolve nucleus.
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