普拉波爾斯基 的英文怎麼說

中文拼音 [pǔlābōěrsījī]
普拉波爾斯基 英文
praporski
  • 普 : Ⅰ形容詞（普遍; 全面） general; universal Ⅱ名詞（姓氏） a surname
  • 拉 : 拉構詞成分。
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 爾 : [書面語]Ⅰ代詞1 （你） you 2 （如此; 這樣） like that; so 3 （那;這） that Ⅱ[形容詞后綴: 率爾而對 ...
  • 斯 : Ⅰ名詞（古代驅疫時用的面具） an ancient maskⅡ形容詞[書面語] （醜陋） ugly
  • 普拉 : gundam model
  • 斯基 : skkie
  1. From the whole perspective, the research into of economics methodology is currently transforming from the positivism to historism and intergralism. in 1980, lakatos ’ s refinement falsificationism starts up the upsurge of hot debate and research since it is based on the combination of popper ’ s thought of with kuhn ’ s insights into historical methodology. his theory is adapted more to be applied in economics methodology than that of popper ’ s

    20世紀80年代，科學哲學方法論中的拉卡托斯的精緻證偽主義掀起了經濟學界關于經濟學方法論的大討論和研究熱潮，因為拉卡托斯的思想是在融合了波普爾的樸素證偽主義與庫恩的歷史主義的方法論基礎上形成的，他的理論比波普爾樸素證偽主義更適合在經濟學方法論中應用。
  2. In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression

    首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
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