空回量檢驗 的英文怎麼說
中文拼音 [kōnghuíliángjiǎnyàn]
空回量檢驗
英文
lose motion measurement- 空 : 空Ⅰ形容詞（不包含什麼; 裏面沒有東西或沒有內容; 不切實際的） empty; hollow; void Ⅱ名詞1 （天空） s...
- 回 : 回構詞成分。
- 量 : 量動1. （度量） measure 2. （估量） estimate; size up
- 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
- 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
- 空回量 : lose motion error
- 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque（指檢查船舶...
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It indicates that although this procedure has introduced the mechanistic - empirical method, but still is not perfect in design theory : one is about bearing capacity evaluation method and device. the currently used device - benkelman beam is dropping behind the development of the pavement testing service ; the other is about the mechanistic method that used in overlay design. it simplifies the original pavement and subgrade as a whole half infinite space, this is not true in the real layered pavement structure
綜合分析了各種罩面設計方法的原理及其優缺點，對於我國目前設計規范中所採用的罩面設計方法進行了詳細的分析與研究，指出了它雖然已經採用了力學與經驗相結合的設計方法，但仍然存在著明顯的不足之處：一方面是舊路承載能力評價設備仍然採用貝克曼梁，檢測手段落後；另一方面，在力學設計方法中，對于舊路承載能力的評估忽略了舊路面結構的分層，而是採用了近似的彈性半空間體，給出了舊路頂面的綜合回彈模量。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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