deconvolution 中文意思是什麼

deconvolution 解釋
反旋卷
  1. A computer image restoration algorithm based on the aperiodic model of deconvolution

    一種基於非周期卷積反演模型的計算機圖象恢復演算法
  2. In this paper, the deconvolution ( and high - order - deconvolution ) electroanalysis theory totally controlled by electrode reaction rates was modified and its properties of polarographic wave was also discussed in detail

    摘要本文提出了完全受電極反應速率控制的去卷積（包括高階去卷積）電化學分析理論，並對波形的性質進行了較詳細的討論。
  3. Further image processing ( e. g., histogram scaling, application of filters or deconvolution ) is not recommended for astrometric or photometric applications, because it will distort the centroids and flux of the objects in the image

    其他的操作（如：柱狀圖縮放，濾鏡處理或去卷積）在天文測量或光度測量軟體中將不被推薦，因為這樣的操作會對目標星的光流量和聚焦中心產生誤差。
  4. 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演算法適用於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演算法推廣到多通道卷積混合，對演算法進行模擬，取得了不錯的效果。
  5. 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

    兩種演算法的實現無需引入非線性函數，因此都與源信號的峭度性質無關;另外，選取全局搜索的遺傳演算法進行尋優，避免了梯度法搜索的局部性，使得演算法均能收斂到問題的全局最優解。
  6. 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.本文證明了當輸入信號是兩兩相互獨立的獨立同分佈信號時可以分離出輸入信號，並導出了基於最大熵的多輸入多輸出盲解卷新演算法.這個演算法不需要任何關于輸入信號和混合濾波器的先驗知識
  7. 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展現狀，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或限定。
  8. Study for deconvolution method of motion blurred images

    運動模糊圖像的去卷積方法研究
  9. According to characteristics of the seismic data from the low snr region with complex surface, this paper is started from solving the static correction problem and reasonable eliminating all kinds of disturbance in the seismic data from the low snr region with complex surface. through the whole process of seismic data processing which includes a series of processing methods that are suitable for the low snr region, namely, from the choosing of the floating base - level, the static correction in the field and indoors, the eliminating of all kinds of noise before and after stacking, the velocity analysis with high - resolution, the reasonable techniques of deconvolution before stacking and wavelet processing after stacking, to the method choosing of the high - resolution stacking and the reasonable and accurate offset imaging, a set of the complete and effective flow for processing seismic data from the low snr region with complex surface are finally formed, which can meet the need of explo

    本文針對復雜地表低信噪比地區地震資料的特點，以解決復雜地表低信噪比地區地震資料靜校正問題及合理剔除各類干擾為出發點，在整個地震資料處理過程中，從浮動基準面的選取、野外及室內靜校正、疊前疊后各類噪音的去除、高精度速度分析、合理的疊前反褶積及疊后子波處理技術、到選用高精度的疊加技術及合理準確的偏移成像方法等一系列適合於復雜地表低信噪比地區的處理方法，最終形成一套較完整且有效的針對復雜地表低信噪比地區地震資料的處理流程。
  10. Deconvolution and inversion of receiver function is a basic problem for receiver function study

    接收函數的提取和反演是接收函數研究的核心問題。
  11. The clues and techniques to improve the resolution of data processing are 1 ) removing the affection of near surface factors on data acquisition, including static correction and noise eliminating technique etc, 2 ) broadening the frequency band of pre - stack seismic data, including amplitude compensation and pre - stack deconvolution etc, 3 ) improving s / n ratio of high frequency and weak reflection signals through multiple coverage with high precision velocity analysis, residual static correction and high - order nmo, raising " dead line of high frequency reflection ", and 4 ) identifying post stack effective reflection frequency band, enhancing dominant frequency and so on

    主要包括：消除近地表因素對資料採集的影響，包括靜校正和噪音壓制技術等；疊前拓寬地震資料領帶，包括振幅補償和疊前反褶積技術等；藉助高精度速度分析、剩餘靜校正和高次項nmo技術，通過多次覆蓋疊加，消除資料中隨機噪聲干擾、提高資料信噪比，尤其是高頻端反射信息的信噪比，改善高頻反射和弱反射信號信噪比，提高「高頻反射死亡線」 ；疊後有限反射頗帶識別、抬高優勢頻率等。
  12. A new constrained deconvolution method and its application in multipath time - delay estimation

    一種新的多徑時延估計的約束反卷積方法
  13. Multi - channel deconvolution, based on multi - channel signal analysis, is presented to recover receiver function from three - component teleseismic p waveforms clustered within certain backazimuth and epicenter distance, to increase the resolution of receiver function. wavelet inversion is also introduced to broadband receiver function, to solve for nonuniqueness cased by linear approximation of nonlinear problem, and broadband receiver function is decomposed into multi - resolution versions, and the inversion result for the low - resolution version is iteratively taken as the initial model for the high - resolution, and gradually obtain the inversion model for broadband receiver function

    為克服廣義線性反演對初始模型的依賴性，並保持其快速收斂的特點，本文首次將小波變換引入到接收函數波形反演，將接收函數分解到不同的分辨尺度上，分別進行廣義線性反演，並將低解析度的反演結果作為高解析度反演的初始模型，漸近地獲取寬頻帶接收函數的模型，克服了非線性問題線性化帶來的非唯一性。
  14. We discussed common methods of digital deconvolution and analyzed effects of noise on it. then, we simulated digital deconvolution filters and optimization criteria of filtration parameters. after that, we gave the application of them in the frequency band extension technique

    首先，介紹了數字反卷積的常用方法及噪聲對數字反卷積的影響；然後，研究了常用的數字反卷積濾波器及濾波參數的優化準則；最後，給出了數字反卷積在頻帶展寬技術中的應用。
  15. The content of this paper consis of noise attenuation, amplitude compsation, deconvolution and retraced processing flows etc. this theme will illustrate some aimed processing in practice

    處理攻關實例:渤海灣a區塊，館陶以下為200一900米的火成巖沉積，由於火成巖的屏蔽作用，長期以來，火成巖以下地層得不到好的反射。
  16. By means of the wavelet transformation the deconvolution is done in the time domain. the dispersive properties of the elastic wave within the impacts acted are analyzed, and with the nonlinear optimization method concerned the impact location is identified

    利用小波變換作時域內的解卷積計算，分析了結構在沖擊載荷作用下的彈性波的散射特性，結合非線性優化方法實現了載荷沖擊位置的識別。
  17. In chapter five to reconst ruct the three - dimensional object cubes, various deconvolution algorithms : nearest neighbor, inverse filtering and constrained iterative deconvolution are developed and applied to both computer generated and experimentally measured image cubes. the best results are obtained using an svd inverse fourier deconvolution algorithm with regularization for noise suppression

    第五章為了重建三維目標立方，發展了各種去卷積演算法：最近鄰、逆濾波和帶約束的迭代去卷積，並應用到計算機產生和試驗測量的圖像立方中，最好的結果是利用具有規則抑制噪聲的svd逆傅立葉變換去卷積演算法獲得的。
  18. In recent decades, people have made a research in single channel deconvolution problems, for example, the traits, fast algorithm of deconvolution results and process for error. they proposed many methods, such as inverse filter algorithm, z transform algorithm, dfs algorithm, l2 algorithm, recursion algorithm

    幾十年來，人們對單通道信號卷積反演問題如反卷積解的性質、解的快速演算法及對誤差的處理等進行了深入的研究，並取得了不少的成就，如逆濾波法、 z變換法、遞歸法、 dfs法、最小平方法等。
  19. The eular deconvolution on magnetic profile data was successfully conducted in a certain area of northwestern china

    將該方法應用於我國西北某地區的高精度航磁資料處理，獲得較好的地質效果。
  20. In view of characteristics of seismic data of gobi - sand dune areas, this paper, through various data - processing means such as quality control, high - pass filltering, dip angle filltering, field static correction, surface consistency deconvolution, precise velocity analysis, denoising before stack, multiple iterative operation of residual static correction, denoising after stack and modification after shift, has raised the data quality of seismic profiles in low signal - to - noise ratio areas and managed to form the seismic data - processing technique for such complex areas as gobi, foreland and dune

    摘要針對戈壁、沙丘地區地震資料的特點，通過對原始資料進行質量控制、高通濾波、傾角濾波、野外靜校正、地表一致性反褶積、精細速度分析、疊前去噪、剩餘靜校正多次迭代、疊後去噪和偏後修飾等處理，提高了低信噪比地區地震剖面的資料質量，摸索出了一套戈壁、山前、沙丘等復雜地區地震資料處理技術。
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