最小應閾值 的英文怎麼說

中文拼音 [zuìxiǎoyīngzhí]
最小應閾值 英文
minimum response threshold
  • : 副詞(表示某種屬性超過所有同類的人或事物) most; best; worst; first; very; least; above all; -est
  • : Ⅰ形容詞1 (體積、面積、數量、強度等不大) small; little; petty; minor 2 (年紀小的; 年幼的) youn...
  • : 應動詞1 (回答) answer; respond to; echo 2 (滿足要求) comply with; grant 3 (順應; 適應) suit...
  • : 名詞1. [書面語] (門坎兒) threshold; doorsill2. (界限; 范圍) threshold
  1. In this essay i argue that the writing of american jazz age novelist f. scott fitzgerald responds to the developing national culture of his time, here described as an evolving relation between the marginality of the region and the hegemony of the center. like many of the characters in his novels, fitzgerald ' s perceived liminality from nation and canon - his work did not achieve repute until after his death - produced, paradoxically, dependence on those values the writer felt most distant from. to a far greater extent than hemingway, fitzgerald fictionalized the commodity culture of the american center which he, in time, came to reject in favor of a moral posture. fitzgerald ' s migration from the perceived margins of american literary discourse to status as a posthumous, centered canonical figure has three specific dimensions - the geographical, the canonical, and the moral - all of which combine to produce a significant ambivalence, beyond " modernist " credentials, in his life and legacy

    本文認為,美國爵士時代的說家菲茨傑拉德的作品對于作者所處時代和處于發展之中的民族文化(即區域邊緣與國家霸權之間的演進關系)作出了回.正如其說中的許多人物一樣,菲茨傑拉德從國家和典律中感知到限性(他自己的作品直到死後才獲得盛譽) ,這使得他依賴于自己認為是為邊遠的價觀念.與海明威相比較,菲茨傑拉德在更大程度上將位於美國中心的商品文化說化,而終他又出於道德考量將它予以拒絕.菲茨傑拉德從明顯的美國文學話語邊緣向去世之後被經典化的中心地位的漂移表現在地理、典律、道德三個方面.三者交織,使得學界關於他的紛爭超越了現代主義者身份問題,在關於他的人生和文學遺產問題上也是褒貶不一,眾說紛紜
  2. 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、主要特性及其用,從四能級速率方程出發,推導了ld泵浦nd : yag激光器的、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、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;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 (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 。
  3. 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

    化時對整體化、局部化、動態化和利用空間信息進行選取幾種常用的選取方法進行討論,特別對利用空間信息進行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,對基於距離分類器字元識別、基於樹分類器的字元識別、基於自適共振( 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;後簡單闡述了手寫數字識別的典型用,對其在大規模數據統計、財務、稅務、金融及郵件分揀中的用進行了探索。
  4. Based on the hydrodynamic energy transport model, the influence of variation of negative junction depth caused by concave depth on the characteristics of deep - sub - micron pmosfet has been studied. the results are explained by the interior physical mechanism and compared with that caused by the source / drain depth. research results indicate that with the increase of negative junction depth ( due to the increase of groove depth ), the threshold voltage increases, the sub - threshold characteristics and the drain current driving capability degrade, and the hot carrier immunity becomes better in deep - sub - micron pmosfet. the short - channel - effect suppression and hot - carrier - effect immunity are better, while the degradation of drain current driving ability is smaller than those with the increase of depth of negative junction caused by source / drain junction shallow. so the variation of concave depth is of great advantage to improve the characteristics of grooved - gate mosfet

    基於能量輸運模型對由凹槽深度改變引起的負結深的變化對深亞微米槽柵pmosfet性能的影響進行了分析,對所得結果從器件內部物理機制上進行了討論,後與由漏源結深變化導致的負結深的改變對器件特性的影響進行了對比.研究結果表明隨著負結深(凹槽深度)的增大,槽柵器件的電壓升高,亞斜率退化,漏極驅動能力減弱,器件短溝道效的抑制更為有效,抗熱載流子性能的提高較大,且器件的漏極驅動能力的退化要比改變結深.因此,改變槽深加大負結深更有利於器件性能的提高
  5. In the calculation, the energy deposited in aluminum by proton beams is first calculated by m - c simulation, then a 1 - d elastic - plastic fluid model is used to simulate the following thermal shock wave process as a result of thermal - mechanical effect by proton irradiation. the shape of proton is taken as a rectangle pulse with a width of 0. 1 microseconds, the energy flux o

    對於3mm的鋁材料,入射粒子束為矩形脈沖(脈寬為0 . 1 s )的情況下,計算得到了電子束、質子束輻照引起鋁材料斷裂的能注量與入射電子束、質子束能量的關系曲線,該曲線存在,分別對6mev的質子束的34 . 7j cm ~ 2和0 . 35mev電子束的42 . 1j cm ~ 2 。
  6. This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic

    本文詳細介紹了薄形組合件自適識別系統;闡明了圖像的分通道自動採集過程,以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法,有效地解決了識別區域的定位問題。針對裝配零件(主要是墊片)薄、導致圖像信息少、識別難度大,以及材質不一導致採集到的組合件圖像亮度波動等問題,提出了使用迭代法和使用種子填充的圖像串列分割技術,自適地找出佳閡,使墊片和背景分離,從而提取墊片數目信息。
  7. In order to better detect the image edge information, firstly, non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中,微弱的回波圖像淹沒在強背景噪聲中,為更好地檢測這類含噪圖像的邊緣信息,首先用特徵方向非線性中濾波技術,濾去高斯噪聲;其次,選擇( 3 , 1 )雙正交樣條波作為原始波濾波器,採用提升方案構造優雙正交波濾波器,用構造的雙正交波進行多尺度波邊緣檢測;同時,通過定義浮動,並用於圖像邊緣檢測,較準確地定位了邊緣位置。
  8. In order to better detect the image edge information, firstly, non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中,微弱的回波圖像淹沒在強背景噪聲中,為更好地檢測這類含噪圖像的邊緣信息,首先用特徵方向非線性中濾波技術,濾去高斯噪聲;其次,選擇( 3 , 1 )雙正交樣條波作為原始波濾波器,採用提升方案構造優雙正交波濾波器,用構造的雙正交波進行多尺度波邊緣檢測;同時,通過定義浮動,並用於圖像邊緣檢測,較準確地定位了邊緣位置。
  9. 22 paired inferior collicular neurons were obtained in the experiment. the neurons were recorded in the depth of 198 - 1254 u m ( 544. 59 ? 72. 37 n m, m + sd ), and their bfs were 11. 25 - 59. 29 khz ( 26. 77 + 9. 95 khz, m ? d ) : the minimum thresholds ( mts ) werelo - 66 db spl ( 38. 14 ? 14. 39 khz, m + sd ) ; the latencies were 4. 0 - 16. 0 ms ( 8. 19 + 3. 14 ms, m + sd ) ; the best intervals between paired sound pulses were 0. 01 - 28. 71 ms ( 3. 93 + 2. 52 ms, m ? d ) 0 the results showed : l ) there were interactions between the neurons in the iso - frequency lamina and hetero - frequency lamina which included mutual inhibition ( 18 / 22, 81. 8 % ) and mutual facilitation ( 4 / 22, 18. 2 % ), and the mutual inhibition in iso - frequency lamina was stronger than that in hetero - frequency lamina ; 2 ) the mutual inhibition decreased with sound level increasing ( p < 0. 001, anova ) ; 3 ) the analysis of the inhibition of discharge rate at lodb above mt showed that the inhibition increased when the paired neurons " bfs difference decreased ( r = - 0. 545, p = 0. 0006 ) ; 4 ) the mutual inhibition of paired neurons can sharpen the frequency tuning and the effect increased when the frequency was away from the bf ; 5 ) the changes in q10, q30 decreased with bfs difference of the paired neurons increasing ; 6 ) the mutual facilitation between paired neurons not only increased discharge rate, but also widened the frequency tuning, i. e., increased response frequency

    結果表明: 1 )同頻層神經元之間或者非同頻層之間神經元之間存在相互作用,這種作用既有相互抑制( 18對,佔81 . 8 ) ,也有相互易化( 4對,佔18 . 2 ) ,且同頻層神經元之間的相互抑制作用較非同頻層神經元之間的相互抑制作用要強; 2 )神經元對低刺激強度反時,所受到的相互抑制作用較強,隨著聲刺激強度加大,抑制作用逐步降低( p 0 . 001 , anova ) ; 3 )對上10db放電率抑制百分比進行的分析顯示,配對神經元之間的佳頻率差越,相互抑制作用越強( r = - 0 . 545 , p = 0 . 0006 ) ; 4 )配對神經元之間通過相互抑制作用可表kx碩士學位論文waiaster 』 sthesis現出調諧銳化作用,該作用的效率與頻率有關, bf處的銳化作用較低,偏離bf時其銳化作用逐步加強; 5 )頻率銳化作用的效率與bf差有關,隨著配對神經元之間的bf差擴亢q10 , q30的變化逐漸減,其變化百分比與配對神經元之間的頻率差存在明顯相關; 6 )配對神經元之間的相互易化作用不僅表現在放電率增加上,也表現在頻率調諧曲線的擴寬,即頻率響范圍擴大。
  10. 1. speech enhancement method based on masking properties of the human auditory system is described. in this paper, a threshold is got through simulating the frequency of human auditory in order to reduce the musical residual noise and the background noise

    法除噪中確定是極為重要的環節,本文模擬人耳聽覺掩蔽效來確定,以有效的掩蔽殘留的音樂噪聲和大限度的保留語音。
  11. Lastly, the desirable properties of wavelet for wavelet super - resolution algorithm are considered to choose suitable wavelet. and noise filtering issues based on wavelet have been taken into account during implementation

    後文章討論了超分辨演算法對波性質的要求,選擇更合適于超分辨演算法實際用的波,並且討論了在超分辨重建演算法過程中實現基於波的去噪方法。
  12. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後,分析和闡明了傳統的運動目標檢測方法的不足,並在此基礎上結合研究中的實際實驗環境,提出了一系列解決方法,包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法,針對實驗環境中光照不均和顏色干擾提出基於人機交互的選取方法和引入改進的rgb模型到hsv模型的轉換方法,為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插進行畸變校正的方法;緊接著,概述了神經網路的發展歷史和幾種常用神經網路模型的特點,重點研究了前饋型神經網路在模式識別中的用問題,詳細闡述了基本的bp演算法和學習過程中bp演算法的改進,從而使網路收斂速度更快,解決問題更有效,並在此基礎上,設計了一個基於bp神經網路的運動目標識別系統,給出了實驗結果。
  13. First of all, the emd - based wavelet threshold denoising algorithm is apllied to denoise noisy structural response data to reduce the effect resulting from noise. during the process of the empirical mode decomposition ( emd ), the two boundaries of the response signal are processed with semi - periodical ? semi - symmetrical method. subsequently, hilbert - huang transform ( hht ) is used in identifying structural intrinsic frequency

    這套技術用以解決實際工程用中遇到的在信噪比較低情況下通過結構的響信號來進行結構損傷識別問題,即先用基於emd的去噪演算法對含噪結構響進行去噪處理,以有效降低噪聲影響(在去噪的emd處理過程中,對信號的邊界採用「半周期半對稱」延括演算法來抑制邊界誤差) ,然後再用希爾伯特?黃變換( hht )進行結構的固有頻率識別,後計算出結構剛度。
  14. L. the paper studies the theory to detect damage of bridges, and compares many sensitive parameters to detect bridge damage through correlative literature all over the world, finally concludes it suitable that bridge damage is detected by strain mode parameters. the strain mode parameters satisfy four foundstiona. l conditions as follows : ? hey are sensitive to sectional damage and they are monotone function of structure damage. @ they have determinate location coordinate

    論文通過對國內外橋梁損傷檢測方面的文獻資料研究,探討了識別橋梁損傷的基本理論,比較了多種結構損傷敏感參數識別橋梁損傷的優缺點,後確定用變模態參數識別橋梁結構損傷較為合適,變模態是對損傷敏感的參數,滿足四個基本條件:對局部損傷敏感,且為結構損傷的單調函數;具有明確的位置坐標;在損傷位置,變模態差曲線出現明顯的峰變化;在非損傷位置,變模態差曲線的變化幅度於預先設定的
  15. First of all, the paper introduces the pre - prepare work for the algorithm, that is the pre - processing of gene chip images. the part includes denoise and segmentation. the method of denoising is wavelet denoising with phase preserving and the segmentation is adaptive thresholding. finally, the acquired denoised binary image is referred to input image for the algorithm

    這一部分分為去噪和分割兩步,其中去噪方法使用的是相位保留波去噪法,分割方法使用的是自適分割,終得到被去噪的二圖像,其被用作演算法的輸入圖像。
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