脈沖類形 的英文怎麼說
中文拼音 [màichōnglèixíng]
脈沖類形
英文
impulse type-
The main research works of this dissertation are aimed to design of radar waveform and the application of wavelets in ultra - wide radar, including : the design of a new kind of hybrid radar and the research of time side - lobe suppression for pulse compression, the design of receiver r adio front end in data acquisition of ultra - wide band radar, the time delay estimation based on wavelets ( packet ) analysis
本文主要進行雷達波形設計研究以及研究小波理論在超寬帶雷達中的應用，集中體現在以下幾個方面：一類新的組合雷達波形設計及壓縮脈沖時間旁瓣抑制技術研究、超寬帶雷達多通道數據採集方法中前端射頻接收部分的設計及研製、基於小波（包）方法的時延估計方法。It was possible to demonstrate by other methods refined structural differences among neuron types, however, proof was lacking that the quality of the impulse or its conduction was influenced by these differences, which seemed instead to influence the developmental patterning of the neural circuits
譯文:用其他方式來展示神經類型的細微差別也是可能的，然而，要證明脈沖質量和傳導受到這些差別的影響還缺乏證據，看起來這些差別影響的是神經單元的發展形成方式。Meanwhile, we classify the five kinds of waveforms as transmitter pulse. and get the characters of ber in different transmitted waveforms
同時對發射信號的脈沖波形進行分類，得到不同發射脈沖波形的誤碼率特性。Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction
首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。Three shaped profiles ( parabola, linear, and exponential ) have been considered. the exponential dispersion profile fiber loop is optimal for the propagation and compression of picosecond pulse. on the contrary, the parabola dispersion profile fiber loop is optimal for femtosecond pulse due to the high order effects such as the third order dispersion ( tod ), stimulated raman scattering ( srs ) and self steeping ( ss )
（ 3 ）研究不同色散遞減類型（拋物線遞減、線性遞減、指數遞減）光纖構成的環形腔中傳輸的特性，發現其色散曲線為指數遞減型光纖有利於皮秒光脈沖的傳輸與壓縮；而對于飛秒脈沖，由於三階色散（ tod ） 、脈沖拉曼自散射（ srs ）及自變陡（ ss ）等高階非線性效應的影響，情況恰恰相反；色散曲線為拋物線遞減型的光纖構成的光纖環最有利於脈沖傳輸與壓縮。In the third part, according to the conception of tourism resource and the attraction to tourists through sameness or difference of the culture, the author analyzes the formation of three kinds of cultural tourism resource in fenghuang from the follow aspects : inheritance of ethnic culture. conflict between ethnic cultures and the great wall culture, combination of ethnic cultures and development of the culture
第三部分，按照旅遊資源的概念，根據文化的「同」和「異」對旅遊者的吸引，從民族文化的傳承、民族文化的沖突與長城文化以及民族文化的融合與文化的發展三個方面，分析了鳳凰三大類文化旅遊資源的形成，並歸納出軍事色彩濃厚、民族特色鮮明、文化底蘊深厚、結構脈絡清晰等鳳凰文化旅遊資源的四大特點。Firstly, in the paper a family of integral solution representing ultrashort pulsed beam propagating in free space have been studied by using the co - moving frame coordinates and the fourier transformation for time variable in terms of well - known paraxial approximation. and the pulsed gaussian - like beam solution can be obtained as a especial solution of the integral solution, where including the pulsed gaussian beam
首先利用傅立葉變換和惠更斯-菲涅爾衍射積分公式，我們給出了傍軸標量場近似下超短脈沖光束傳輸的基本積分解，並進一步得到了用卷積形式表示的脈沖類gauss光束解（ pulsedgaussian - likebeam ）的普遍形式解。Aim to plan optimal routes for a type of cruise missiles ( cms ) which can avoid the firepower units as surface - to - air missiles, antiaircraft guns, fighter planes, electromagnetism impulse and terrain obstacles and have the shortest length as well as consume the least oil
摘要目的設計優化一類巡航導彈航跡，且航跡滿足避開地空導彈、高炮、殲擊機群、電磁脈沖等火力單元和地形地物障礙，並且滿足航跡路徑長度短、耗油量少等約束條件。After analyzed the limitation of dijkstra algorithm and genie algorithm, a pulse coupled neural networks ( pcnn ) algorithm is proposed. pcnn provides group similarity, synchronous exciting and auto - wave generation characters, and is widely researched and applied in image processing, target identification and optimization fields
脈沖耦合神經網路提供了分組類似性、同步激發和自動波的形成與傳播等一系列基本的特性，並在圖像處理、目標的自動辨識和組合優化等領域中得到了廣泛的應用和研究。It is tested that the most proficiency method is using pulse - controlled magnet core to generate rotating magnetic field, in which the density and frequency of rotating field can be adjusted, the different form of rotating field can be easily achieved, and both magnetic pole and work piece need not rotate during the magnetic abrasive finishing process
實踐證明，最有效的方法是脈沖控制電磁線圈的方法產生。這種類型旋轉磁場的強度和磁場的旋轉頻率都可以得到調節，磁場的不同旋轉形式也很容易實現，而且在研磨加工過程中工件和磁極都無需旋轉。Three characteristic features, such as average velocity of sound, deviation coefficient of sound velocity, and deviation coefficient of amplitude are extracted from four kinds of testing data which are sound velocity, amplitude, frequency and waveform in this paper. fuzzy analysis and artificial neural network are combined to form an intelligent system with similar functions to human brain to classify grc, aerated concrete, hollow brick, solid brick and concrete block. the accuracy of this system is up to 95 % in field tests
由超聲脈沖法獲得4種檢測信息聲速、波幅、頻率和波形，從中提取3個特徵量：平均聲速、聲速的離差系數和波幅的離差系數，利用模糊分析方法和人工神經網路相結合對grc 、加氣混凝土、空心磚、實心磚、砌塊5種墻體材料進行種類識別，形成一個智能化的、具有類似人腦功能的系統.經現場實測證明，判別的準確率達95 %以上。分享友人