blind deconvolution meaning in English
盲反褶积
Examples
- The original infomax is only applied in the instantaneous mixture and in the single channel blind deconvolution . this thesis applies the idea to blind sources separation in multiple channel convolutive mixture . through simulation , we can show that the algorithm has good performance
Infomax算法适用于瞬时混合情况下的盲分离和单通道盲解卷积问题，本文将infomax算法推广到多通道卷积混合，对算法进行仿真，取得了不错的效果。 - One is the bss based on kernel density estimation ( kde ) and genetic algorithm ( ga ) , the other is the blind deconvolution based on high order cross cumulants and ga . without nlf , the performance of separation in both algorithms is independent with the kurtosis of the sources
两种算法的实现无需引入非线性函数,因此都与源信号的峭度性质无关;另外,选取全局搜索的遗传算法进行寻优,避免了梯度法搜索的局部性,使得算法均能收敛到问题的全局最优解。 - The problem discussed in this paper is to separate two ( or more ) input signals from observed signals which are generated by passing input signals through diffrent unknown multi - input multi - output linear systems . it is proved that the input signals can be separated when they are independent identitically distributed ( i . i . d ) signals . a new algorithm for multi - input multi - output blind deconvolution via maximum entropy is presented which needs no information about the input signals and mixing filters
本文研究的问题是从观察信号中分离出两个(或者更多个)输入信号，其中每一组信号分别通过不同的未知多输入多输出线性系统.本文证明了当输入信号是两两相互独立的独立同分布信号时可以分离出输入信号，并导出了基于最大熵的多输入多输出盲解卷新算法.这个算法不需要任何关于输入信号和混合滤波器的先验知识 - Finally , this chapter emphasizes the importance of auxiliary processing in sar imaging , indicates that autofocusing is essentially a problem of blind deconvolution , and that speckle reduction is a problem of imagery restoration . no additional assumption and limitation , the inverse problem on autofocusing or speckle reduction can not be solution
同时，介绍了sar图像自聚焦和相干斑抑制处理及其发展现状，指出自聚焦过程实际上是一个盲解卷积问题，而相干斑抑制是一个图像复原问题，对这类逆问题的求解需要附加假设或限定。