自由空間波 的英文怎麼說
中文拼音 [zìyóukōngjiānbō]
自由空間波
英文
free space wave- 自 : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
- 由 : causereason
- 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...
- 間 : 間Ⅰ名詞1 (中間) between; among 2 (一定的空間或時間里) with a definite time or space 3 (一間...
- 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...
- 自由 : freedomliberty
- 空間 : space; enclosure; room; blank; interspace
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29 july 2005 ) nine meteorologists from bolivia, bosnia and herzegovina, kenya, mongolia, nepal, niue island, republic of korea, tanzania, and trinidad and tobago have just completed a training course running on aviation meteorological services organised by the hong kong observatory ( hko ). the course began on july 25 and ended today ( july 29 )
九位分別來自玻利維亞、波斯尼亞和黑塞哥維那、肯尼亞、蒙古、尼泊爾、紐埃島、南韓、坦尚尼亞及千里達托貝哥的氣象人員在七月二十五至二十九日期間完成了由香港天文臺舉辦的航空氣象服務培訓課程。Robustness is the study focus of adaptive beamforming techniques because of the inevitable array imperfections in practice. a robust adaptive beamformer based on the structure of the generalized sidelobe canceller ( gsc ) is proposed in this thesis
由於陣列天線的空間采樣誤差不可避免,自適應波束形成的穩健性是當前波束形成研究的熱點,論文提出了一種基於廣義旁瓣相消器結構的穩健的自適應波束形成器。By improving surface condition of parts and one shot seal - off clean room grade, using ultrasonic vapor phase cleaning process, the inner parts of vacuum interrupter get cleaner. movable particles have been diminished by automatic current ageing, power frequency hi - voltage ageing and dynamic high current ageing. as the dielectric strength of clearance in vacuum interrupter improved, the probability of re - ignition in test drops evidently
通過提高零件表面加工質量,改善一次封排間的真空衛生條件、制定合理的超聲波氣相清洗工藝提高管內潔凈度,採用自動電流老煉、超高壓工頻老煉、大電流動態老煉等工藝進一步消除真空滅弧室內活動性微粒,可提高真空滅弧室真空間隙介質強度,使真空開關投切電容器組的重燃率大大降低,並通過實驗驗證真空開關投切電容器組的重燃率在製造工藝改進後由原來的10 . 7 %降低至1 . 3 % 。It has powerful competitive capacity and huge application market in china for all of its advantages, such as strong spanning ability, light dead weight, rapid construction speed, beautiful configuration etc. nevertheless, for some reasons, its research work lags behind its engineering practice seriously, affecting its further application and dissemination
拱型波紋鋼屋蓋是一種新型的空間鋼結構,具有跨越能力大、自重小、施工速度快、造型優美等突出優點,因而在我國有著強大的競爭力和廣泛的應用市場。但由於種種原因,無論在國內還是國外,其理論研究都嚴重滯後於工程實踐,嚴重影響了結構的進一步推廣和普及。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。Users plot a coarse outline of video objects in the graphic user interface ( gui ) using the mouse at the first step, then fill the outline to obtain a binary model, using seed growing and wavelet edge correct the outline. in tracking video objects, we obtain an initial segmentation uses motion information and the model of previous frame, and correct by the information of space. finally, we obtain an accurate segmentation
利用視覺系統的周邊抑制機制對模板外的象素進行屏蔽,消除背景影響,由自動閾值選取的小波邊緣提取獲得視頻對象的邊界,利用種子生長法進行輪廓擬合,由最短路徑法校正模板,在進行視頻對象的跟蹤時,利用運動信息和上一幀的模板,得到一個初始分割,利用空間信息對邊界象素調整,最後得到精確分割的視頻對象。分享友人