- 同步脈沖
- synchronous: adj. 同時的，同期的；【物理學】同步的。 adv. ...
- pulse: n. 〔sing., pl. 〕 豆類；豆。
- composite synchronous pulse: 復合同步脈沖
- next synchronous pulse: 下一個同步脈沖
- non-synchronous pulse jamming: 非同步脈沖干擾
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synchronous pulse中文什么意思
- 同步脈沖
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例句與用法
- A study of the shaping of signal pulse under the condition of a synchronous pulse pump
同步脈沖泵浦下信號脈沖整形的研究 - Synchronous pulse generating circuit : got by back panel output 1pps 、 1ppm 、 1pph synchronous pulse signal . pulse is photoelectric isolation static idle contact form output
同步脈沖發(fā)生電路：通過后面板輸出秒（ 1pps ） 、分（ 1ppm ） 、時（ 1pph ）同步脈沖信號。脈沖是光電隔離的靜態(tài)空接點形式輸出。 - Pcnn is a new type of network and is called the third generation artificial neural network . it is a simplified model built through the simulation of the outbursts of synchronous pulses in the visual layer of a cat ' s cerebra
Pcnn是近年來提出的一種新型網(wǎng)絡，被稱為第三代人工神經(jīng)網(wǎng)絡，它是通過模擬貓的大腦視覺皮層中同步脈沖發(fā)放行為而建立起來的一個簡化模型。 - 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(jié)合pcnn的同步脈沖發(fā)放和側(cè)抑制特性，提出了基于改進型pcnn的圖像凹點檢測算法，該算法是一種自適應而有效的圖像凹點檢測方法，并且較好地仿真了人類視覺系統(tǒng)；然后，結(jié)合信息傳遞和信息耦合特性，將pcnn擴展成pcnns ( pcnn網(wǎng)絡群) ，提出了一種基于pcnns的圖像融合算法，能夠?qū)⒍鄠€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(tǒng)；另外，結(jié)合pcnn的同步脈沖發(fā)放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用于模式分類中，提出了基于耦合神經(jīng)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(xiàn)對樣本空間中任意復雜分布訓練樣本的穩(wěn)健非線性分類，而后者能夠消除訓練樣本中刺點對分類的影響；最后，結(jié)合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經(jīng)元之間連接取向來選擇與控制自動波的流向，將pcnn用于運動視覺分析中的運動軌跡模擬及運動方向檢測。
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