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blind deconvolution中文是什么意思

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  • 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算法適用于瞬時混合情況下的盲分離和單通道盲解卷積問題,本文將infomax算法推廣到多通道卷積混合,對算法進行仿真,取得了不錯的效果。
  • 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
    兩種算法的實現(xiàn)無需引入非線性函數(shù),因此都與源信號的峭度性質(zhì)無關(guān);另外,選取全局搜索的遺傳算法進行尋優(yōu),避免了梯度法搜索的局部性,使得算法均能收斂到問題的全局最優(yōu)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
    本文研究的問題是從觀察信號中分離出兩個(或者更多個)輸入信號,其中每一組信號分別通過不同的未知多輸入多輸出線性系統(tǒng).本文證明了當輸入信號是兩兩相互獨立的獨立同分布信號時可以分離出輸入信號,并導出了基于最大熵的多輸入多輸出盲解卷新算法.這個算法不需要任何關(guān)于輸入信號和混合濾波器的先驗知識
  • 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
    同時,介紹了sar圖像自聚焦和相干斑抑制處理及其發(fā)展現(xiàn)狀,指出自聚焦過程實際上是一個盲解卷積問題,而相干斑抑制是一個圖像復原問題,對這類逆問題的求解需要附加假設(shè)或限定。
  • 百科解釋
In image processing and applied mathematics, blind deconvolution is a deconvolution technique that permits recovery of the target scene from a single or set of "blurred" images in the presence of a poorly determined or unknown point spread function (PSF).
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