聯演算法 的英文怎麼說

中文拼音 [liányǎnsuànfǎ]
聯演算法 英文
chain method
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. A multiple targets tracking algorithm in clutter

    密集雜波環境下的快速數據關聯演算法
  2. Finally, the algorithm model of six modules ( space - calibration, time - calibration, spot - track ' unite, track ' s origination and expiration, the form of tracking - door and association algorithm ) are founded. the effect of some modules to tracking result are studied and their intimated results are gained. the intimation result of centralized - system and distributed - system are compared in the end

    建立了空間校準、時間校準、點跡合併、航跡起始與終結、跟蹤門判斷和互聯演算法六個模塊的演算法模型；通過數字模擬，探討了某些模塊對跟蹤結果的影響並給出相應的模擬結果。
  3. Compensation for the errors of the strapdown arithmetic in sins

    捷聯慣導系統的捷聯演算法誤差補償
  4. A new data association algorithm based on signal feature is proposed, which uses not only spatial information but also signal feature information

    摘要提出一種基於信號特徵信息的改進聯合概率數據互聯演算法，該演算法不僅利用目標狀態空間信息同時利用了目標特徵信息計算互聯概率。
  5. Because the data output of most of the inertial sensors in sins is in incremental form, the fundamental theory of sins based on the data output form is described in this thesis

    針對當前捷聯慣導系統中慣性器件的輸出大多採用增量形式的數據輸出，簡要介紹了適合於增量形式數據處理的捷聯演算法基本理論。
  6. Last on the hardware of mainboard, the boot table which is used in boot loader, analogical uart and program of strapdown system are completed by assemble language and c language

    最後，在系統硬體電路板的基礎上，以tms320c3x匯編語言和c語為工具，編寫了用於程序引導裝載的boot文件，軟體實現了uart和捷聯演算法。
  7. Researching about multi - class protein fold recognition, we use the cascade algorithms based on support vector machine to classify the folds. the total accuracy is nearly 4 percentile higher than direct - classifying. this result suggests the thought is feasible

    2 、對蛋白子折疊子預測現狀進行了研究，提出以支持向量機為基礎的多分類器級聯演算法來解決折疊子分類問題，實驗結果比直接分類提高了近四個百分點，證明了這種思路的有效性。
  8. Thirdly, the theory of single radar multi - target tracking ( kalman filter algorithm, dynamic target model, track ' s origination and expiration, the form of tracking - door and association algorithm ) is dicussed, which is turned the basis of multi - radar centralized - system ' s tracking algorithm

    對單雷達的多目標跟蹤理論（卡爾曼濾波、機動目標模型、航跡起始與終結、跟蹤門的形成和互聯演算法）進行了系統的研究，以此作為點跡處理之後集中式多雷達系統跟蹤技術的基礎。
  9. Using test - bed system, we can validate all methods in this field and evaluate algorithms. in this paper, the implement of the smart antenna test - bed is detailedly discussed. based on this test - bed, the new algorithms of doa estimation and space - time processing are presented and tested effectively using the actual data

    論文主要討論了智能天線系統的實現問題，在此基礎上，對波達方向（ doa ）估計演算法和cdma系統空時處理方面的演算法進行了研究，得到了兩種新的doa估計演算法和一種低復雜度空時級聯演算法。
  10. To settle this problem, one way is to design and make high precision inertial instruments, i. e. gyros and accelerometers. but the inertial instruments " performs are limited with material and technical level. another way is to design and use optimal algorithms

    要提高捷聯系統的精度，一方面是設計和製造出高精度的慣性器件，但由於受材料和工藝的限制而較難以實現；另一方面就是設計和採用高精度的捷聯演算法，因而研究一種適用於捷聯系統的高精度演算法就成為急需解決的課題。
  11. This paper studies and discusses comprehensively the applications of data processing techniques in track while scan radar. it begins with studies of filter theory and multitarget tracking theory, and continues to make deep discussion of such topics in the multitarget tracking environment as target movement models, adaptive - filtering and prediction, dynamic data association algorithms, and measured data. for radar using purpose, the data algorithms for nnf and the adaptive a - p filtering and prediction based on " cv " model are studied emphatically

    論文對邊掃描邊跟蹤雷達中數據處理技術的應用作了全面的研究與討論，深入研究了符合實際的濾波理論與多目標跟蹤理論；對目標運動模型、自適應卡爾曼濾波與預測技術、各類數據關聯演算法、量測數據的處理等多目標跟蹤所涉及的主要內容進行了討論；根據實際雷達跟蹤要求，對nnf數據關聯演算法和基於「 cv 」運動模型的自適應濾波與預測演算法等作了重點研究。
  12. Aiming at the disadvantages of present feature association algorithm, the modified bp neutral network is applied to feature association and has a higher association rates

    4針對現行屬性關聯演算法的缺點，把改進的誤差後向傳播（ bp ）神經網路方法應用於屬性關聯，該方法有較高的關聯成功率。
  13. Fast data association algorithm based on maximum entropy fuzzy clustering

    基於最大熵模糊聚類的快速數據關聯演算法
  14. To resolve the question of tracking highly maneuvering targets in clutter with different sensors, the theory of multi - sensor data fusion and algorithm of joint probabilistic data association have been analyzed in depth. in this thesis, with the using of matlab simulating tool, it accomplished the tracking of three maneuvering targets in clutter and completed the algorithm emulation of every phase in multi - target tracking. from the satisfied result of simulation, the validity of target tracking algorithm in whole data fusion system has been proved

    論文針對多雜波環境下的高度機動目標，依據多傳感器數據融合的理論基礎，基於目標跟蹤領域中的概率數據關聯演算法，對於三個機動目標在雜波環境下的軌跡進行跟蹤，並在matlab環境中，完成了多目標融合跟蹤各個階段的演算法模擬，取得了滿意的模擬結果，從而證明了整個系統的數據融合目標跟蹤演算法的有效性。
  15. Finally we analyze common data association algorithm such as nearest neighbor algorithm 、 probability data association algorithm and joint probability data association algorithm and adopt the nearest neighbor algorithm in our simulation system

    然後對當前比較常用的數據關聯演算法最近鄰法、概率數據關聯（ pda ）演算法以及聯合概率數據（ jpda ）演算法進行了分析選擇。
  16. The traditional one associates one measurement to each target, which ignores the uncertainty and fuzziness induced by noises. it is easy to get a fault association result when the targets are located densely. the proposed algorithm introduces the idea of probabilistic data association algorithm

    傳統的模糊數據關聯演算法對每個目標分配一個點跡作為其該時刻的測量點跡，它忽略了噪聲及干擾所帶來的信息不確定性及模糊性，在目標密集時易產生關聯錯誤。
  17. The microsoft association algorithm is an association algorithm for use in creating data mining models that you can use for market basket analysis

    Microsoft關聯演算法是用於創建可用於市場籃分析的數據挖掘模型的關聯演算法。
  18. The degrees of membership obtained from fuzzy clustering are considered as the probabilities of association events, which are later used as the weighted numbers to obtain the innovation of each target. the full - rate tracking of target using multi - rate interacting multiple models is realized. the maneuvering target tracking algorithms are analyzed, which conclude the current statistical model adaptive kalman filtering and interacting multiple models algorithms

    新演算法借鑒了概率數據關聯演算法的思想，把模糊均值聚類后得到的隸屬度值視為相應關聯事件的概率，並將其作為加權系數對目標有效回波的新息量進行加權得到該目標的總新息量。
  19. A united target data association algorithm based on d - s theory and multiple remote sensing images

    證據理論的多源遙感圖像目標數據聯合關聯演算法
  20. Grey comprehensive algorithm on multiple financial system of public corporations

    上市公司復合財務系數的灰關聯演算法
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