particle filter 中文意思是什麼

particle filter 解釋
粒子濾波器
  • particle : n 1 顆粒，微粒；微量，極少量。2 【物、數】粒子，質點。3 【語法】虛詞，不變詞〈冠詞、副詞、介詞、...
  • filter : n 1 濾器，濾紙，過濾用料[砂、炭等]。2 【無線電】濾波器；【物理學】濾光鏡，濾色器。vt 過濾，用過濾...
  1. The first algorithm is low precise but simple and credible, the second is high precise but complex and incredible. 4 ) developed four kinds of methods aimed to improve precision and credibility of navigation system. the first is parallel sandia inertia terrain - aided navigation ( psitan ) ; the second is tercom + sitan, it can restrain two important disadvantages of sitan ; the third is particle filter - based terrain - aided navigation ( pftan ), the particle filter can reduce the error of navigation ; the last is tercom + pftan, where tercom is looked as monitor to ensure the credibility of navigation system

    採用并行sitan方法來提高導航精度，並克服奇異值問題；提出了tercom + sitan方法，綜合利用兩者的優點，在保持sitan導航精度的前提下，有效地克服了sitan的兩個缺點；提出了一種基於連續蒙特卡洛濾波（常被稱為particlefilter ）的地形匹配演算法（ pftan ） ，有效地克服了利用sitan時由於地形隨機線性化帶來的誤差，使導航精度有較大的提高；提出了tercom作為監視器的地形輔助導航思想，並將其應用到連續蒙特卡洛方法上，較大地增加了系統的可靠性和精度。
  2. Present a modified particle filter ( pf ) algorithm based on the los / nlos binary state information of propagation environment using the numerical method of the probability density function ( pdf ) about the hybrid noise. the key idea is using numerical method to calculate the hybrid noise pdf, and integrating binary environment information to get filtering result

    2 .給出了應用粒子濾波器改進直達波與非直達波混合環境中移動終端跟蹤性能的新演算法，特色是利用數值方法計算混合噪聲密度函數，結合二元環境信息完成濾波估計。
  3. Maneuver target tracking based on importance resampling particle filter

    基於重要性重采樣粒子濾波器的機動目標跟蹤方法
  4. Based on the framework of particle filter, this paper proposed and implemented different tracking algorithms for single mouse target and multi mice targets separately, which are as follows : we combined the weighted color histogram, which is considered as observation model, into the framework of particle filter and realized the tracking of single mouse target

    本文在粒子濾波框架基礎上，分別就單個鼠類目標和多個鼠類目標的情況，提出和實現了不同的跟蹤演算法。具體內容如下:提出將加權的顏色直方圖作為觀察模型融入粒子濾波器演算法框架，實現了對單個鼠類目標的跟蹤。
  5. Respiratory protective devices - methods of test - part 7 : determination of particle filter penetration ; german version en 13274 - 7 : 2002

    呼吸保護裝置.試驗方法.第7部分:顆粒過濾器滲透性測
  6. The color - based particle filter for real - time object tracking determines the location of the object mainly using color information and incorporating the motion prediction and frame similarity

    基於顏色的粒子濾波實時跟蹤演算法主要是利用視頻圖像的顏色直方圖信息，綜合考慮運動預測和幀間的相似性來確定目標的位置。
  7. The color - based particle filter for real - time object tracking determines the location of the object by using color information and incorporating the motion prediction and frame similarity

    摘要基於顏色的粒子濾波實時跟蹤演算法主要是利用視頻圖像的顏色直方圖信息，綜合考慮運動預測和幀間的相似性來確定目標的位置。
  8. In this case, particle filter is studied abroad for its wide application

    在這種情況下，粒子濾波因其適用面廣而備受關注。
  9. Particle swarm optimized particle filter

    粒子群優化粒子濾波方法
  10. The particle filter is a filter method based on monte - carlo simulation and recursive beyesian estimation

    粒子濾波是一種基於蒙特卡羅模擬和遞推貝葉斯估計的濾波方法。
  11. Constraint target passive tracking based on particle filter

    基於粒子濾波的約束目標被動跟蹤研究
  12. On this basis a nonlinear filtering technique of sequential monte carlo particle filter based on bayesian approach is emphatically disussed which the posterior distribution of the state variables can be represented by a set of weighted particles, so the method base advantages over the above algorithms in robustness and accuracy for nonlinear non - gaussian filtering problems

    在此基礎上重點論述了一種基於貝葉斯原理的序貫蒙特卡羅粒子濾波技術，該方法通過粒子的加權和表徵后驗概率密度，獲得狀態估值，在處理非線性非高斯系統的狀態估計問題時精度逼近最優，魯棒性更好。
  13. Chapter 3 considers location of a stationary target. after introducing the nonlinear filtering technique of particle filtering, location algorithm is implemented by particle filtering. on the base of fusing information of bearing and distance, a fast passive location algorithm based on particle filter is got

    在第三章里，在簡單介紹了測向定位的擴展卡爾曼演算法之後，主要研究了一種全新的非線性濾波技術-粒子濾波，並在此基礎了提出了基於粒子濾波的測向定位法和快速定位法。
  14. A particle filter based face tracking algorithm under complex environment is provide

    提出一種基於粒子濾波的復雜環境下人臉檢測與跟蹤演算法。
  15. According to the key technique influencing the particle filter, a gassian mixture particle filter for non - rigid object tracking is presented

    針對影響粒子濾波演算法性能的關鍵技術，提出了基於混合高斯模型的粒子濾波演算法，並將其用於基於顏色的非剛性目標的實時跟蹤相關問題。
  16. This thesis presents the latest development of nonlinear filtering theory and the appliance of divided difference filter ( ddf ), unscented kalmen filter ( ukf ) and particle filter ( pf ) in non - cooperative bistatic radar positioning and tracking system

    本文介紹了非線性濾波理論的最新進展，把ddf （ divideddifferencefilter ）濾波器、 ukf （ unscentedkalmanfilter ）濾波器和pf （ particlefilter ）濾波器應用到了非合作式雙基雷達的定位跟蹤中。
  17. Finally, based on target dynamic model as well as image observation model, a tracking algorithm for multi mouse targets is proposed together with particle filter

    最後在目標動態模型與圖像觀察模型的基礎上，結合粒子濾波提出了針對多個鼠類目標的跟蹤演算法。
  18. In order to implement an effective and robust tracking task, a novel approach of weighted color histogram based particle filter algorithm is presented, which not only integrates color histogram into particle filtering, but also takes into account the target ' s shape as a necessary factor in target model

    將目標顏色直方圖作為目標的顏色模型，同時考慮其大小及像素點的位置對顏色分佈的影響，將顏色直方圖進行加權處理，使模型對區域特徵描述更加合理。
  19. In the end, the divisional resampling is applied to the demo system of trajectory planning and trajectory control, which indicates that it can increase the efficiency of the particle filter and be applied in practice

    最後，將其應用於飛行器航跡規劃與控制的模擬演示系統，結果表明，分區重采樣演算法提高了粒子濾波演算法的效率，可以在實際中推廣應用。
  20. 6. we discuss a new popular approach, which is called particle filter, to state estimation problem for non - linear, non - gaussian system. in addition, some potential problems of the particle filter have been presented

    分析了目前廣泛應用於非線性非高斯系統狀態估計的「粒子」濾波（ particlefilter ）演算法的基本思想，指出其存在的問題和可能的研究方向。
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