閾值簡並 的英文怎麼說
中文拼音 [yùzhíjiǎnbàng]
閾值簡並
英文
threshold degeneracy-
According to the guidline, two nd : yag lasers have been designed and set up, one is end - pumped by lower output power ld using a selfoc micro lens, and the other is end - pumped by high output power ld using a pair of lenses are designed, and the characteristics such as output power and power stabilization of both solid - state lasers are investigated. thirdly, when an empty liquid crystal cell is inserted in the cavity of the nd : yag laser pumped by high power ld, the laser can operates in single axial mode. finally, according to the relationship between the laser output power and the longnitudinal a ld - end - pumped nd : yag laser sensor for displacement measurement has been investigated theoretically and demonstrated experimently, the results indicate that when the mean radius of pumping inside the laser cavity is far less than that of the oscilating laser mode, the exponential of the output power is a gauss function of the longitudinal positon of focused spot of ld pumping beam, both the measurement range and the sensitivity are dependent on the incident pumping power, as the incident pumping power is increased, the measurement range is enlarged and the sensitivity is improve d
本文首先介紹了ld泵浦nd ： yag激光器的發展狀況、主要特性及其應用，從四能級速率方程出發，推導了ld泵浦nd ： yag激光器的閾值、輸出功率和斜效率的表達式，並簡述了激光器的工作原理、結構型式和倍頻方法；其次，以空間相關的速率方程為基礎，提出了ld端面泵浦nd ： yag激光器的設計方法，給出了一定泵浦耦合方式下，振蕩光模尺寸、最佳輸出耦合率、泵浦光模尺寸、泵浦光焦斑位置等參數的選取依據，以此為依據，設計了自聚焦透鏡耦合小功率ld泵浦nd ： yag激光器和透鏡組耦合高功率ld泵浦nd ： yag激光器，對激光器的輸出功率和功率穩定性等特性進行了實驗研究；再次，在帶尾纖輸出的高功率ld泵浦nd ： yag激光腔內插入一隻空液晶盒，觀察到了激光器以單縱模運轉；最後，根據泵浦光焦斑端面位置對激光輸出功率的影響規律，提出了ld端面泵浦nd ： yag激光位移傳感新方法，並進行了理論和實驗研究，研究結果表明：當激光晶體內泵浦光平均光斑半徑遠小於振西安理工大學碩士學位論文蕩光束腰半徑時，激光輸出功率的自然指數與泵浦光焦斑的縱向位置成高斯變化規律，測量范圍和靈敏度依賴于泵浦功率，隨著泵浦功率的增加，測量范圍擴大，靈敏度提高，當端面泵浦功率為7 . 24w （最大輸出功率為1 . 926w ）時，激光位移傳感器的測量范圍和靈敏度分別是13 . 045mm和0 . 148mw / pm 。This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored
二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。After introduction of the tranlinear loop principal, the bjt current controlled conveyor has been designed by using mixed tranlinear loop voltage follower. as for modern integrated circuit, the model of mos transistor, the active resistance and the current mirror integrated circuit formed by mos transistor are introduced. the cmos current controlled conveyor has been derived from mixed tranlinear loop cmos voltage follower based on weak inversion operation
針對現代集成電路的工藝，本文對mos晶體管的工作原理進行了簡要的敘述，討論了有源電阻和電流鏡的實現方法，並利用mos晶體管的亞閾值特性組成混合跨導線性迴路完成對應的電壓跟隨器的設計，推導出了基於cmos技術的電流控制傳送器。All the power devices including main switches and auxiliary switches are in soft - switching condition ( zvs or zcs ), while the freewheeling diodes are turned off in zero current condition. besides, the control of resonance between inductance and capacitor can be easily realized without needing of setting the threshold values of the inductance current
該電路中主開關和輔助開關均滿足zvs或zcs條件，續流二極體也工作在軟關斷方式，並且電感和電容之間的諧振控制不需要設定電感電流閾值，控制邏輯簡單，可實現四象限運行。To be dealed agaist extended data, this thesis has improved on and come true arithmetic of time sequence model, and amended conventional decision tree arithmetic, introduced the decision tree arithmetic for extended data, namely threshold value control approach. according to threshold value and concept hierarchy, threshold value control approach can set up the concise and statistic classification tree. at the same time, based on the theory of the concept lattice, this thesis introduces the arithmetic of mining association rules based on quantified concept lattice reduced by uncertainty coefficient
針對泛化后的數據，本文改進並實現時間序列模式發現演算法；修改了傳統的決策樹演算法，提出了一種適合於泛化數據的決策樹構造演算法：閾值控製法，閾值控製法通過閾值和概念層次的控制，可以建立簡潔明了、具有統計意義的分類樹；在概念格理論基礎上提出了基於不確定系數法挖掘關聯規則的演算法。During image recognition, it reduces the yawp and improves the quality of the image with the technology of the median filter, it uses the method of maximum between - class variance to segment the object, then gets better effect. the algorithm is simple, and the adapted capacity is great. it doesn ’ t influence by the change between the contrast and lighteness of the image. so it applies on the real time system
在圖像識別過程中，本文運用了中值濾波技術降低了噪聲，提高了圖像的質量，並採用了最大類間閾值分割法分割目標，得到了較好的效果，該方法計算簡單，自適應性強，在一定條件下不受圖像對比度與亮度變化的影響，因而在一些實時圖像處理系統中得到了廣泛的應用。分享友人