雜波消除器 的英文怎麼說

中文拼音 [xiāochú]
雜波消除器 英文
clutter eliminator
  • : Ⅰ形容詞(多種多樣的; 混雜的) miscellaneous; varied; sundry; mixed Ⅱ動詞(混合在一起; 攙雜) mix; blend; mingle
  • : 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...
  • : 動詞1 (消失) disappear; vanish 2 (使消失; 消除) eliminate; dispel; remove 3 (度過; 消遣) pa...
  • : Ⅰ動詞1 (去掉) get rid of; eliminate; remove 2 [數學] (用一個數把另一個數分成若干等份) divide:...
  • : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
  • 消除 : eliminate; dispel; remove; clear up; wipe off
  1. 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分佈訓練樣本的穩健非線性分類,而後者能夠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。
  2. In order to limit the sensor numbers of the crossing location association method in high clutter or target density environment, a generalized likelihood ratio approach to eliminating ghosts is given. the approach is based on the fact that the sound intensity distribution of the same target is identical

    為了防止當目標密度或密度較大時,交叉定位融合需要傳感過多,根據同一目標的聲壓分佈一定的特點,設計了一種交叉定位中虛假目標的廣義似然比檢驗法。
  3. As the system is regarded as being excited by a constant direct current at the data acquisition point, no complex ac circuit such as filter is required. it can improved the rate of data acquisition and simplify the circuitry of ert system

    由於系統採用了直流脈沖信號作為系統的激勵源,后續的信號處理電路就可以直接獲得測量結果,無需復、耗時的濾電路,這就了濾這一限制數據採集速度提高的「瓶頸」問題。
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