濾光器差值法 的英文怎麼說

中文拼音 [lǜguāngqìchāzhífǎ]
濾光器差值法 英文
filter difference technique
  • 濾 : 動詞（除去液體雜質） filter; strain
  • 光 : Ⅰ名詞1 （照耀在物體上、使人能看見物體的一種物質） light; ray 2 （景物） scenery 3 （光彩; 榮譽） ...
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. E., the carrier frequency of a gaussian beam deviates from the resonant frequency of a fabry - perot etalon ), variations of the peak intensity, the position of the peak intensity and the dwdm systems, has received considerable attention. in this work, after taking into account the wavelength - depended reflectivity distribution profile of a fiber bragg grating, the oscillation wavelength # _ ( 1 ) of long external cavity fiber bragg grat

    與共振情況（即高斯光束的載波頻率與法布里一拍羅濾波器的諧振頻率一致）相比，非共振條件（即高斯光束的載波頻率與法布里一拍羅濾波器的諧振頻率存在偏差）一透射光束的峰值強度、峰值強度所對應的位置、以及光斑的大小隨入射角的變化都發生了顯著的改變。
  2. The algorithm can not only eliminate the influence of the cumulative errors of the photoelectric code recorder, but also it can satisfy the requirement of the real - time control. a direct inverse model controller of fuzzy neural network with changeable structure based on takagi - sugeno inference is presented and it is used to the motion control of mobile robot. in order to avoid the obstacles successfully, detection results from ccd and ultrasonic sensors are fused by a fuzzy neural network, which acts as an avoidance controller

    包括移動機器人的融合自定位問題：移動機器人利用光電編碼器進行自定位，同時用擴展卡爾曼濾波器融合多個超聲波傳感器的測量值，採用回朔演算法將融合值用於復位光電編碼器，消除了光電編碼器累積誤差的影響，並能滿足實時控制的要求：並提出一種基於takagi - sugeno模型的變結構模糊神經網路直接逆模型控制器，並應用於移動機器人的運動控制；利用模糊神經網路避障控制器融合ccd攝象機與超聲波傳感器探測到的環境信息，以實現機器人的安全避障。
  3. Through the theory of light radiation and intensity, we can use the fewest leds to satisfy the luminous intensity demand. through image segmentation theory, we can accurately pick module up from the test stripe when it is put in wrong directions. through image processing theory, we can acquire correct information and avoid the bad effects from the asymmetric chemistry reaction and instability of the devices

    用光的輻射和強度理論，我們計算出了獲得足夠圖像強度所需的最少光源;用圖像分割理論，我們在試紙條傾斜放置或有垂直方向上的偏移時，準確地提取出了各模塊的數據;用平滑濾波和均值濾波理論，我們濾除了由於反應不均勻及硬體設備不穩定帶來的噪聲;用交遇區設計線性分類器的方法，我們降低了有限樣本設計線性分類器帶來的誤差，提高了檢驗準確度。
  4. In the course of design, we fully consider the actual conditions on the railway and take a series of corresponding measures to the concrete problem. such as we select high - accuracy microconvertor and have the converted function in succession data collecting system chip aduc812, design v / f circuit and external a / d circuit. in anti - interference of the hardware, we try to disperse each function module to avoid interfering each other, adopt photoelectric isolated technology to dispel the circuit connection of input and output. in controlling we import arithmetic mean into strain wave algorithm and real computing technology of virtual value for sample treatment of data, that is using the software to smooth away interfere error and to calculate actual value, thus it makes the precision of the data improve greatly

    在設計過程中，根據系統要求，充分考慮鐵路上的實際情況，針對具體問題採取了一系列的相應措施，如在器件選擇方面選用高精度microconvertor系列、具有adcdma連續轉換功能的數據採集微控制器晶元aduc812 ，設計了v f變換電路和外部a d轉換電路；在硬體抗干擾方面，將每個功能模塊盡量分散獨立開來以避免相互干擾、採用光電隔離技術消除輸入輸出通道上的電路聯系；在控制方面對于采樣數據的處理引入了算術平均值濾波演算法和真有效值的計算方法，即通過使用軟體來濾除系統中有干擾造成的誤差並計算真值，從而使數據的準確性得到極大地提高。
  5. But the standard mc has some shortcomings : firstly, the standard mc picks up isosurfaces by threshold, however, threshold segmentation is invalid for picking up tissues or organs from some medical images ; secondly, the standard mc pocesses cubes one by one, that is to say, all the cubes will be checked, and the algorithm spents 30 % - 70 % of time to check the null units, so we need a reasonable data structure to travel the space data and accelerate the checking or filting of null units ; thirdly, the standard mc has a large scale of triangles, normally, the tissue or organ reconstructed includes hundreds of thousands so much as millions of triangles, this means it hardly to execute real - time rendering or interaction ; lastly, the standard mc can not get the very smoothly surface mesh, and there will be some unexpected accidented cases, especially in the case of big errors in oringinal data

    但是標準mc演算法存在較大的問題:標準mc演算法實質上是通過閾值分割來提取等值面，閾值分割對某些醫學圖像的組織或器官的提取難以得到較好的效果;標準mc演算法是逐個移動立方體來進行處理，就是說對所有的立方體都要進行一次檢測，演算法執行中30 % ~ 70 %的時間用在對空單元的檢測上，因此需要有一種合理的數據結構對空間數據進行有效的遍歷，以加速對空單元的檢測和過濾;標準mc演算法產生了大量的三角面片，一般重建的組織或器官包含數十萬甚至上百萬的三角面片，難以實現實時的繪制和交互操作;標準mc演算法得到的表面網格並不光滑，會有一些不期望的凹凸，特別是在原始數據有較大誤差的情況下尤其突出。
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