自動波束控制 的英文怎麼說

中文拼音 [zìdòngbōshùkòngzhì]
自動波束控制 英文
automatic beam control
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 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...
  • 束 : Ⅰ動詞1 （捆; 系） bind; tie 2 （控制; 約束）control; restrain Ⅱ量詞（用於捆在一起的東西） bundle;...
  • 控 : 動詞1 （告發;控告） accuse; charge 2 （控制） control; dominate 3 （使容器口兒朝下 讓裏面的液體慢...
  • 制 : Ⅰ動詞1 （製造） make; manufacture 2 （擬訂; 規定） draw up; establish 3 （用強力約束; 限定; 管束...
  • 自動 : 1 （自己主動） voluntarily; of one s own accord 2 （不憑借人為的力量） automatic; spontaneous 3 ...
  • 波束 : wave beam; beam; wave packet波束空間 [半] wave number space
  • 控制 : control; dominate; regulate; govern; manage; check; cybernate; manipulate; encraty; rule; rein; c...
  1. The numerical simulation equations of the border curves in term of and as well as the matching rules and the frequency dependence of microwave electromagnetic parameters of a broad - band homogeneous absorbing coating with a finite value of reflection loss are available. these results pointed out the direction to develop rams ". according to the radar - absorbing model, the optimized design of rams with thin - layer, light - weight, broadband and strong - absorbing is available by the simple genetic algorithms, which can effectively conduct the research work of rams to the detail. small but completely, the electromagnetic parameter ' s databases of rams that based on actual microwave absorbers have been set up, the object function has been constructed which conform to the involved goals, the adaptive coding measure is taken which extends the coding length dynamically adapting to the condition of the number of actual absorbers or the precision of thickness and absorber - volume - percentage, the decoding technique is initiated which satisfies light - weight and strong - absorbing as well as thin - layer and broadband by adopting of tracing variable restricting conditions dynamically to control total thickness. when decoding, the variable restricting conditions of thickness are dynamically traced, so gain the radar absorbing coatings of light - weight multiple - layer single - ingredient. similary, of thickness and absorber - volume - percentage, of light - weight multiple - layer multiple - ingredient. also, the rams ' demand to radar - absorb performance as frequency is met making use of the penalty function

    作為遺傳演算法的具體實施：根據本實驗室近來研製的吸波材料，建立了吸波材料的相關數據庫；構造了能真實體現「薄、輕、寬、強」優化目標的目標函數；根據材料的實際數量以及塗層厚度精度要求、吸收劑體積分數精度要求，建立了能動態擴展相應碼長的自適應編碼方法；首創了通過動態跟蹤變量的約束條件來控制塗層總厚度的解碼技術，以此實現了在不弱化寬頻、高強的吸波性能目標的同時，兼顧到薄層、輕質的使用性能要求；在解碼時通過動態跟蹤厚度變量的約束條件，實現了多層單組分吸波塗層對重量輕的要求；通過動態跟蹤厚度變量的約束條件和吸收劑體積分數的約束條件，實現了多層多組分吸波塗層對重量輕的要求；使用權重系數變化法，實現了吸波塗層的分頻段吸波性能要求。
  2. 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。
  3. Dbf algorithms for 2d planar array based on the algorithms for 1d array are discussed in this paper. the author ' s main contributions include research of the adaptive digital beamforming algorithm, which control both amplitude and phase of each array element : diagonal loading qrd - smi algorithm. research of two phase - only dbf algorithms : small phase perturbation restriction algorithm and maximum gain of the expected direction restriction algorithm

    面陣的數字波束形成演算法是面陣dbf技術的關鍵，本文在現有的一維數字波束形成演算法基礎上，研究了二維面陣的數字波束形成演算法，主要工作有：面陣的幅度相位全控制自適應數字波束形成演算法? ?對角加載qrd - smi演算法的研究；兩種面陣唯相位（ phase - only ）數字波束形成演算法? ?小相位擾動約束演算法和期望方向增益最大約束演算法的研究；面陣的數字多波束形成演算法? ?二維fft多波束的研究，以及fft在可編程邏輯器件中的實現。
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