break in the succession 中文意思是什麼

break in the succession 解釋
層序間斷
  • break : vt （broke， 〈古語〉 brake; broken 〈古語〉broke）1 毀壞，弄壞，損壞，毀損。 break a doll 弄壞洋...
  • in : adv 1 朝里，向內，在內。 A coat with a furry side in有皮裡子的外衣。 Come in please 請進來。 The ...
  • the : 〈代表用法〉…那樣的東西，…那種東西。1 〈用單數普通名詞代表它的一類時（所謂代表的單數）〉 （a） 〈...
  • succession : n. 1. 接連發生，繼起，接續；繼承性；（計算技術的）逐次性。2. 繼承；繼承權；繼承順序；繼任；后繼。3. 【生物學】系列；世系，系統；演替；【農業】輪栽。
  1. In succession, we manufacture the solid - liquid two phase cleaning system, in which the shooting liquid device, phase break device and tubular membrane bracket are the key factors

    接著，研製了固液兩相清洗系統，其中射流器、分球漏斗、管式膜支架是比較關鍵的幾個部分。
  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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