空時自適應 的英文怎麼說
中文拼音 [kōngshízìshìyīng]
空時自適應
英文
stap- 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...
- 時 : shí]Ⅰ名1 (比較長的一段時間)time; times; days:當時at that time; in those days; 古時 ancient tim...
- 自 : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
- 適 : 形容詞1 (適合) fit; suitable; proper 2 (恰好) right; opportune 3 (舒服) comfortable; well Ⅱ...
- 應 : 應動詞1 (回答) answer; respond to; echo 2 (滿足要求) comply with; grant 3 (順應; 適應) suit...
- 適應 : suit; adapt; get with it; fit
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3. as there are up to 106 managed objects on element level of tmn ( telecommunications management network ) in telecommunications network, and the scheme to collect management information affects the performance of network management, a new algorithm - saa ( self - adaptive algorithm ) used for retrieving multi objects information has been put forward in this thesis. saa can adjust the retrieving objects and interval of retrieval self - adaptively by using the schemes of self - adaptivity, fault tolerance, recognition status of object dynamically etc., and thus can use fewer network resources without alteration of snmp ( simple network management protocol ), iiop ( internet inter - operability protocol ) or cmip ( common management information protocol )
針對傳統的定時提取網路管理信息方法的不足,提出了一種提取多管理對象信息的新演算法? ?自適應演算法saa ( self - adaptivealgorithm ) ,該演算法能在不改變管理協議,如iiop ( internetinter - operabilityprotocol ) 、 snmp或cmip ( commonmanagementinformationprotocol ,公共管理信息協議)的情況下,採用自適應策略、容錯策略、動態識別被管對象狀態策略、被管對象存儲空間的動態刷新策略,根據本次訪問被管國防科學技術大學研究生院學位論文對象所得出的網路通信量,自適應地調整下次應該訪問的被管對象和讀取被管劉?象數據的時間間隔,從而可以較少地消耗所用的網路帶寬和cpu資源。( 4 ) to raise the computational accuracy and efficiency, we have designed a self - adaptive space grid that can guarantee mass conservation and energy conservation, and have also developed the techniques for the time stepsize automatically varying
( 4 )設計了保持質量和能量守恆的自適應空間網格,發展了自動改變時間步長的技術,使之能夠更好地保證計算精度,提高計算效率。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。This paper begins with an overview of the fundamentals of adaptive antennas. the correspondence between a spatial filter and the fir filter is illustrated, and the spatial filter characteristic of adaptive antennas is investigated by dmi and ls - drmtcma algorithms. the discrete - time transmission model of synchronous cdma systems with antenna arrays is also developed
本文首先對自適應天線的基本原理進行了簡要介紹,建立了陣列接收的同步cdma系統離散時間傳播模型,並論述了空域濾波和時域fir濾波器的類比性,用dmi和ls ? drmtcam演算法模擬了自適應天線空間濾波性能。It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result
在求解網路故障后重構問題時,互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作,並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索,直至獲得全局最優解。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。This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored
二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論,特別對利用空間信息進行閾值選取進行了詳細論述;在對通過對基於數學形態學的細化的基礎上,討論序貫同倫形態細化演算法和保形的快速形態細化演算法;然後依據聯機字元識別原理框圖,分析了手寫數字的結構特點,提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術,對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述;繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究,對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振( art )網路的字元識別分別進行了詳細討論,並引入置信度分析將多個分類器進行了混合集成;最後簡單闡述了手寫數字識別的典型應用,對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1
根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性,首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型;同時,從s維樣本空間的f ~ c -劃分幾何特性出發,提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法;對一個待診斷樣本,設計了基於類勢密度函數意義下的屬性測度和診斷準則。This dissertation is focused on the study of adaptive digital beam forming ( dbf ), two - dim spectrum estimation and the determination of the highness of the object. main work include : 1 a method of adaptive dbf in received antenna array
本文圍繞著自適應接收波束形成、時-空二維譜估計和對目標高度判定等方面進行研究,主要研究工作包括以下幾個方面: 1討論了在接收陣列天線中,自適應數字波束形成( dbf )的方法,引入了采樣梯度矩陣演算法。4. a novel dynamic power management is presented based on predictive and timeout policies. online idle period is predicted according to previous idle period and previous prediction
開發了一種自適應的功耗管理演算法,對空閑時間長度進行預測,並應用timeout方法進行修正,以確定是否進入睡眠模式。Partial adaptive digital beam forming has the potential for improved time - energy management, and reduced life - cycle costs, and reduced complexity of adbf system, especially in large array antenna used thousands of sensors. this dissertation was part of the national ' s array radar project
對于大型空時自適應陣列天線,採用部分自適應技術( padbf ) ,可以降低陣列自適應演算法的復雜性,產生較快的自適應響應,同時也可極大的降低系統硬體成本。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。Afterwards, in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction, an improved sfim image fusion method is proposed. this modified algorithm is on the base of sfim fusion technique, combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter. compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images, it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images
論文的主要工作和成果包括:在像素層,論文研究了多傳感器數據融合理論及遙感圖像預處理的過程和步驟,歸納了多源遙感圖像像素層融合的常用演算法,並針對目前遙感數據呈海量化、復雜化這一發展趨勢同遙感信息提取的能力和效率滯后這一矛盾,在sfim演算法的基礎上,將ihs變換與sfim相結合,將原演算法中的均值濾波器改進為自適應加權均值濾波器,提出了一種改進的sfim演算法,通過對一組多光譜圖像和全色圖像的雙傳感器融合模擬對比試驗,證明了該演算法在保持原多光譜圖像光譜信息的同時,能夠有效提高融合圖像的空間分辨能力。In order to enhance system ' s interaction ability, spatial and temporal sharing technology should be improved in following areas : increase participant behavior ' s accuracy and consistency ; support multiple participants to operate one entity in same time ; be adaptable to different tasks, offer different level of accuracy and consistency according to different types of task ; be adaptable to different bandwidth, transfer most important messages according to current bandwidth
為了提高系統的交互性,時間和空間共享技術要在以下方面進行改進:提高系統的行為再現精度和一致性;一致性控制支持不同用戶在同一時間對同一個物體進行操作;使系統具有對任務的自適應能力,能根據用戶從事不同類型的任務提供與之相適應的再現精度和一致性;使系統具有對網路帶寬自適應的能力,根據當前的帶寬情況選擇最重要的信息進行傳輸。On one hand, from the technique of constrained least squares and limited energy of additive noise, an effective restored approach by adopting regularization method to overcoming ill - posed problem, solving an equation with a single variable, and using space iterative algorithm is proposed ; on the other hand, aiming at the restoration of blurred image, another effective restoration approach based on least - square algorithm is also proposed in this paper. this method firstly adopts increment iterative algorithm to improve convergence and meanwhile applies regularization technique to overcome ill - posed problem. in the computations, the regularized parameter has its adaptive character, which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value
一是從約束最小二乘出發,在加性噪聲能量有界的前提下,採用正則化方法來克服病態問題,通過解一個單變量方程,並利用空域迭代運算實現了一種有效的圖像復原;二是針對模糊圖像的復原問題,從最小二乘演算法出發,採用增量迭代的方法改善演算法的收斂性,同時結合正則化技術克服問題的病態性質,並引入自適應的正則化參數,使其與圖像復原的迭代運算同步進行並自動修正到最優值。A multiuser detection method based on adaptive wavelet network is proposed. this method can effectively eliminate mai and white noise. a novel space - time matched filter combined with adaptive wavelet network in asynchronous multipath cdma channels is proposed
提出了基於自適應子波網路與空時匹配濾波方法,這種方法使用子波網路對陣列天線波束形成之後的輸出進行后續處理,是一種單用戶的檢測方法。Eno schemes are based on the approximation theory, which achieve high - order spatial accuracy by reconstructing piecewise smooth high - order approximate polynomial from the cell - averaging values. during the reconstruction, adaptive stencil technology, which automatically chooses the relatively smoothest stencil from all possible stencils, is adopted to guarantee essentially non - oscillation near the discontinuity
Eno格式基於近似理論,採用自適應基架技術(即自動選取所有基架中相對最為光滑的基架) ,對網格平均值構造分段光滑的高階多項式來獲得高階空間精度,同時保證格式在間斷附近具有基本無振蕩性質。Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed
本文創新性的成果在於:提出了預編碼-判決反饋聯合均衡系統結構,並從理論推導得出了對應的最大互信息量最優化設計結果;首次提出了時變色散通道的離散正則模型概念,該模型適宜於利用觀察數據的二階統計量進行盲信號處理;基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究,提出了對時不變通道矩陣的子空間盲辨識演算法;針對誤差傳播效應問題,提出了可以消除誤差傳播效應的兩級盲辨識演算法;提出了基於離散正則模型的直接盲均衡演算法;提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。Taking the real - time recognition request into consideration, a bi - layer ahmm model ( bl - ahmm ) is introduced. bl - ahmm can reduce the recognition space by pre - categorization, which improves the speed and accuracy of recognition. like the other grads descend algorithms, the problem of local optima is also existed in the training of hmm
為了進一步提高識別速度,滿足聯機識別中實時性的要求,本文在ahmm的基礎上同時提出了一種雙層自適應識別模型( bl - ahmm ) ,通過預分類來減小識別空間,提高了系統識別速度並同時提高了識別率。We partitions the image to three plots, intake area, tracking region, exit region. results from experiments show that the model of hsv adaptive background with shadow detection and extended kalman filter tracking has segmented moving objects and detected shadow so easy and accurately tracked moving vehicles in large area, multiple objects and complex environments. and the system has flexible mathematic model and can meet real - time and practicality requirements
從處理的結果看,本文提出的帶陰影檢測的hsv空間自適應背景模型和卡爾曼濾波運動目標跟蹤模型,易於實現運動物體的分割、及陰影檢測,能比較準確的實現大范圍、多目標的跟蹤,而且數學模型簡單,運算速度快,系統具有很強的魯棒性和實用性,能滿足實時行進車輛的檢測和追蹤的要求。分享友人