空自抑制 的英文怎麼說
中文拼音 [kōngzìyìzhì]
空自抑制
英文
space suppression- 空 : 空Ⅰ形容詞(不包含什麼; 裏面沒有東西或沒有內容; 不切實際的) empty; hollow; void Ⅱ名詞1 (天空) s...
- 自 : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
- 抑 : Ⅰ動詞(向下按; 壓制) restrain; repress; curb Ⅱ連詞[書面語]1 (表示抉擇) or 2 (表示轉折) but3 ...
- 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...
- 抑制 : 1 (控制) restrain; control; check; hold up; curb; stop; repress; bridle; choke; prehension; sup...
-
Spontaneous emission can be totally suppressed or strongly enhanced depending on the relative position of the resonant frequency from the edge of the photonic band gap and the photonic mode density. several novel phenomena can be obtained. the spontaneous emission displays an oscillatory behavior, classical light localization, photon - atom bound state, nonzero steady - state population and anomalously large vacuum rabi splitting. and localized mode associated with a defect site in an otherwise perfect photonic crystals, acts as a high - q micro - cavity
通過原子上能級與光子頻率帶隙邊緣的相對位置或者光子態密度,可以抑制或增強原子的自發輻射。分析並得到了一些奇異的現象,如自發輻射的諧振子行為、光的局域、單光子?原子局域態、上能級中存在非零穩態原子布居數、類似於真空中的拉比頻率分裂等。The proposed algorithm used adaptive operators for every sub - band to suppress these energy - concentrated coefficients on the block boundary to reduce blocking artifacts in space domain
通過為各個子帶設置自適應操作運算元去抑制塊邊界系數能量聚集現象,使得空域中的塊效應得到消除。In addition to the conventional techniques such as low sidelobe antennas and displaced phased center antenna ( dpca ), there has been great interest in space - time adaptive processing ( stap ) because it can suppress clutter effectively and improve the detection performance of airborne phased array radar evidently
除了採用低副瓣天線、偏置天線相位中心( dpca )等傳統雜波抑制技術,能夠有效提高機載相控陣雷達地雜波抑制能力和動目標檢測性能的空時二維自適應處理( stap )受到了廣泛關注。The ground moving target detection ( gmti / gmtd ) is an important function of the battlefield awareness radar and fighter ' s fire - control radar. in the gmti / gmtd the ground clutter will do strong harm to the detection and stap can be used to suppress the clutter
戰場感知雷達和機載火控雷達的地面慢速目標檢測功能也受到地雜波的制約,可以利用空時二維自適應處理提高抑制雜波的能力。I have been prohibited from publishing papers at the aps journals since 1981, despite a documentation of about one hundred submissions, all rejections made with a reiteration of vacuous sentences, the known technique being that of suppressing unwanted advances by tiring the author
自1981年以來,禁止我在美國物理學會aps的刊物上發表論文,在拒絕我大約100篇論文的文件證據之外,對我的論文的所有的拒絕均不斷重復類似的空洞文句,採用事先抑制他們不歡迎的稿件從而拖垮作者的眾所周知的手法。For slow targets whose doppler frequencies fall into clutter doppler band, the performance of frequency domain one - dimension filtering is seriously degraded. in an airborne radar, there is interdependence between the clutter doppler frequency and spatial position. space - time adaptive processing ( stap ) utilizes this interdependence to suppress clutter and get perfect main - lobe and side - lobe clutter suppression
空時自適應處理利用機載雷達地雜波多普勒頻率與地雜波空間位置的耦合性,根據目標和雜波在空間-多普勒頻域二維空間分佈上的差別對雜波進行抑制。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。The optimization weight and performance of adaptive array is discussed. then, based on the characteristic of navigation signal, the figure and algorithm of adaptive array are improve on, which has a superior performance on cr and a little inferior on sinr compared with optimization weight adaptive array
首先分析了自適應陣最優權值和性能,進而根據衛星導航信號極弱的特點,改進了基於特徵結構子空間的自適應陣結構,應用於導航信號干擾抑制,與最佳權值自適應陣相比,在干擾抑制性能上優於前者。The mutual excitation between the local stimuli satisfying the rules of curve distribution ( position and orientation continuity ) called curve self - excitation is a useful method to discover and enhance curves and to inhibit noise. the present approaches used parallel connection structure division which did not acquire satifactory effect. this paper presents the idea of random time division and dynamic self - excitation, for different curves performing random time - division searches, time coincidence filtering, and self excitation accumulation. the principle is given
利用空間分佈滿足曲線規則(位置和定向連續性)的局部刺激之間的相互激勵,稱為曲線自激,這是發現視覺邊界曲線和抑制局部噪聲的有效手段.過去的工作均採用并行結構區分的計算方式,曲線自激並沒有達到滿意的效果.本文提出隨機時分動態自激的計算方案,對不同的曲線實施隨機時分的搜索、時間一致性濾波、和自激積累等機制.本文給出了實現的原理方案This might indicate that some of the pent - up demand for affordable air travel, from businessmen and middle - class families, has been satisfied
這說明了一些被抑制的,能消費得起得航空需求得到了滿足,這些需求來自商人和中產階級家庭。In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經典的非參數法,對於四種具有代表性的核,從前述的三個性能評價方面做了分析和對比,指出了其速度快的優點和對非平穩圖像適應性差的弱點,針對非參數法的弱點,重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型,在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法,突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計,實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像,由此建立了殘余圖像的雙參數拉普拉斯模型,實驗表明其可以完好的吻合殘余圖像的概率密度曲線。In space men lack the air needed for breathing, the pressure required to stop their blood from boiling and the natural protection of the atmosphere against radiation
在太空,人們缺乏呼吸所必需的空氣,缺乏能抑制血液沸騰的壓力以及抗輻射的大氣的自然保護。3d dynamic optimization is a kind of technique that automatically separates image signal and interfering signal through a time and space integrated analysis, effectively restrains the interfering signal through adjustment and carding, so as to eliminate the slight noise and interference of the picture and remarkably improve definition of dynamic and static pictures
3d動態優化,即通過一個時間和空間的綜合分析處理,自動分離圖像信號和干擾信號,通過調整和梳理對干擾信號進行有效的抑制,消除了畫面的細微噪波和干擾,顯著提升了動態與靜態畫面的清晰度。Users plot a coarse outline of video objects in the graphic user interface ( gui ) using the mouse at the first step, then fill the outline to obtain a binary model, using seed growing and wavelet edge correct the outline. in tracking video objects, we obtain an initial segmentation uses motion information and the model of previous frame, and correct by the information of space. finally, we obtain an accurate segmentation
利用視覺系統的周邊抑制機制對模板外的象素進行屏蔽,消除背景影響,由自動閾值選取的小波邊緣提取獲得視頻對象的邊界,利用種子生長法進行輪廓擬合,由最短路徑法校正模板,在進行視頻對象的跟蹤時,利用運動信息和上一幀的模板,得到一個初始分割,利用空間信息對邊界象素調整,最後得到精確分割的視頻對象。分享友人