遞推估計 的英文怎麼說

中文拼音 [tuī]
遞推估計 英文
recursive estimation
  • : Ⅰ動詞(傳送;傳遞) hand over; pass; give Ⅱ副詞(順著次序) in the proper order; successively
  • : 動詞1 (向外用力使物體移動) push; shove 2 (磨或碾) turn a mill or grindstone; grind 3 (剪或削...
  • : 估構詞成分。
  • : Ⅰ動詞1 (計算) count; compute; calculate; number 2 (設想; 打算) plan; plot Ⅱ名詞1 (測量或計算...
  • 估計 : estimate; evaluate; take stock of; size up; calculate; appraise; reckon; estimation; forecast
  1. Finally, a method is put forward to construct the nurbs curves on sphere, which extends the de boor recursive algorithm in r3 to one on the sphere by replacing the geodesic distances for the lines and studies their many geometric properties analogous to those in euclidean spaces, such as the differential property, the local property, the parameter invariance under a projective transformation, and so on

    兩種方法均給出誤差,使逼近螺線可達到任何預先給定的精確階。最後,給出球面nurbs曲線生成演算法:用球面上測地線? ?劣大圓弧代替直線段,將歐氏空間r ~ 3中的deboor演算法廣到球面上構造麯線。
  2. In this paper, the starting parameters of the motor is estimated by kalman filtering arithmetic that is a parameter test mehod that can be considered the running state. base on the basic kalman filtering arthmetic, linearization extended kalman filtering arthmetic that is fit to the motor system that is a non - linear controled system is got

    因此本文利用卡爾曼濾波演算法對電機起動時的參數進行,該方法是一種結合運行方式的參數測試方法,從基本的卡爾曼濾波演算法出發,得了適應電機這個非線性控制系統線性化的廣卡爾曼濾波演算法。
  3. Nonlinear recursive minimum model error estimation

    非線性最小模型誤差
  4. Two - stage algorithms of parameter estimation for the autoregressive moving average ( arma ) models are presented, which are called two - stage recursive least squares algorithm ( 2 - rls ) and recursive least squares - pseudoinverse algorithm ( rls - pi )

    本文提出了自回歸滑動平均( arma )模型的兩段參數演算法:兩段最小二乘演算法( 2 - rls )和最小二乘-偽逆演算法( rls - pi ) 。
  5. Synthesizing the two identification methods of weighted least square and resricted memory, the mutivariable system recursive estimate algorithems of unknown parameter of autoregressive models in the presence of controlled inputare are given

    摘要將加權最小二乘法和限定記憶兩種參數方法相綜合,給出了多變量系統帶控制輸入的自回歸模型未知參數的遞推估計演算法。
  6. Based on the characteristic of the industry measurement and control system, a kind of architecture for data fusion in industry measurement and control system is introduced, and some data fusion methods that can be used in industry measurement and control system were also introduced, such as arithmetic average, weighted average, recurrence estimate based on arithmetic mean, kalman filter etc

    摘要根據工業測控系統的特點,給出了控制系統數據融合的一種結構,介紹了適合工業測控系統的幾種數據融合方法,如中位值法、加權平均法、算術平均與遞推估計法、卡爾曼濾波及多模型法等。
  7. At last, an approximate method for evaluate fatigue life of structures under repeat random stress block is presented through a lot of calculation examples

    進一步分析了隨機應力循環下結構的疲勞損傷,導出損傷演化的公式,並結合大量的算給出結構在應力塊重復循環下疲勞壽命算的一個近似方法。
  8. Selecting the image elements of earth and moon centers as observed quantity, measurement noise model and observed equations of autonomous navigation system are built up. the spacecraft orbit is determined by using the recursive weighted least square based on ud factorization

    在奔選取地心和月心像素作為觀測量,建立了符合實際情況的量測噪聲模型和自主導航系統的觀測方程,並利用基於ud分解的加權最小二乘演算法了奔月探測器的軌道參數。
  9. The results show that the ionosphere - weighted model or the tropospheric estimation, integrated with the partly - weigthed least squares, can improve, the success rate and the reliability of ambiguity resolution ; however, if the ionospheric delay or the tropospheric delay, which is modeled on random walk process or first - order gauss - markov process, is estimated with the kalman filter, it will reduce the success rate and the reliability of ambiguity resolution

    將電離層延遲作為零均值的隨機遊走過程(電離層加權模型) ,將對流層延遲作為靜態參數,採用非形式的加權最小二乘法來,可以提高模糊度解算的成功率和可靠性。
  10. This paper studies 3 kinds of algorithms : the viterbi algorithm, multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm. the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation, this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference. multiresolutional algorithm takes full advantage of multiresolutional data, we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation, it describes the probability density function by the samples, so it can be used to nonlinear non - gaussion filtering, the simulation result of the two groundings is presented

    Viterbi演算法以隱馬爾可夫理論為基礎,是一種最大后驗概率方法,本文對該演算法進行了研究,給出了一種適合於非高斯干擾條件下的濾波方法;多分辨分析方法充分利用到了多解析度測量數據所包含的信息,從模擬結果中可以看出,該方法的濾波精度要高於傳統的濾波演算法;自主濾波方法是一種貝葉斯演算法,它利用采樣點來描述目標狀態的概率密度函數,因而適用於非線性、非高斯條件下的濾波,本文分別對這兩種情況下的濾波進行了模擬。
  11. The same conclusion as derived from the original pda under approximate condition is concluded this way without any approximations. the second method is the instant - state performance prediction based on the hyca method. this method not only gives the off - line recursive error variance relation, but also gets a series of performance measurement such as track life

    然後應用兩種方法對其進行性能和預測,一是基於riccati方程的穩態性能,其結果與pda演算法近似條件下得出的結論相同;二是基於hyca方法的瞬態性能預測,不僅給出了誤差方差的離線關系,而且得到了航跡壽命等一系列性能指標的值。
  12. 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貝葉斯的濾波方法。
  13. The recursive criterion of transient current protection based on mallat wavelet transform is presented in order to meet the real - time demands. the reserch shows deficiency existed in the prevenient principle of transient current protection, so a new improved scheme of transient current protection is proposed. the characteristics of transient protection at different bus distribution capacitance is also analysed in this thesis. the study shows that operate of transient protection is correct when the bus distribution capacitance change. other conclusion include : the trip of transient protection must be locked when the power circuit breaker of transimission line operated, because the trip is incorrect at this time ; the features of transient current and it ' s energy is different between the fault and thunder over - voltage in transimission line, and them can be identified ; the ratio of high frequency component of current in serise capaciters compensation line, svc and hvdc system is far little than fault transient current, so all of them do not affect the working of trasient current protection

    應用功率譜方法討論了故障高頻暫態噪聲信號在頻率軸上的分佈情況,利用功率譜分析結果實現的非參數化系統辨識方法研究了母線分佈電容對電流高頻暫態信號的衰減特性。論文的後半部分(第五,六,七章)著重分析了現有基於故障電流的暫態保護原理和判據存在的問題,提出了新的實現方案,並討論了暫態電流保護的運行性能。利用多分辨分析和小波分解快速演算法構成的暫態保護判據,可以準確區分故障線路和非故障線路,實現超高速暫態電流保護,算更為簡單方便,算速度更快。
  14. The paper makes research into the multiplayer feedforward networks and dynamic recursive networks, and proposes a method to estimate the speed and rotor flux of induction motors using the dynamic recursive networks. to the used dynamic recursive network model, the off - line dynamic bp algorithm has been reasoned out so as to observe induction motor state variables

    本文分別對多層前向網路和動態歸網路進行了研究,提出基於動態歸網路的異步電機的轉速和磁鏈觀測,針對採用的動態神經網路模型,導了離線動態bp演算法,以便利用動態歸網路進行狀態觀測。
  15. Based on the classical least squares method ( rls ) in system identification, the several new identification algorithms of parameter estimation for the autoregressive moving average ( arma ) model, are presented. they include univariable and multivariable two - stage recursive least squares - recursive extended least squares ( rls - rels ) and two - stage recursive least squares - pseudo - inverse ( rls - pi ) algorithms

    本文在系統辨識經典的最小二乘法( rls )的基礎上,提出了自回歸滑動平均( arma )模型參數的一些新的辨識演算法,它包括單變量和多變量兩段最小二乘?增廣最小二乘( rls ? rels )演算法和兩段最小二乘?偽逆( rls ? pi )演算法等。
  16. In special ly, the est imat ion of power spectra1 densi ty ( psd ) can be get in burg method which estimate reflection coefficient firstly, then get the ar parameter est imat ion usi ng the levinson recursion

    方法對不同階的預測是通過使預測誤差功率的值達到極小,從而得到反射系數值的,最終得到功率譜值。
  17. Using the estimate of least squares to arithmetic forecast kinematical trajectory of dynamic objects. 4

    採用最小二乘參數演算法來預測動態障礙物的運動軌跡。
  18. In the rls - td ( t ) learning algorithm, the eligibility traces mechanism and the recursive least squares methods are combined together so that better convergence properties can be obtained in learning prediction problems. 2

    Rls - td ( )學習演算法同時結合了最小二乘參數方法和適合度軌跡( eligibilitytraces )機制,從而能夠獲得比已有演算法更好的收斂性能。
  19. Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented

    基於此,本文針對多傳感器數據融合技術在機動目標狀態中的應用進行了系統的研究,其主要工作如下: 1 、基於「當前」統模型中加速度極限值的預先設定對于濾波效果影響的分析,利用目標機動狀況與相鄰采樣時刻間位置量變化之間的函數關系實現噪聲方差自適應,進而提出了一種修正的模型,並結合卡爾曼濾波演算法,提出了一種改進的自適應濾波演算法。
  20. Considering the complex - value signals processing or parameter estimation, the dissertation study the complex - value least square method. the paper put forward complex recursive least square method either weighted data or using forgetting factor to avoid data saturation and increase the observed data reliability

    考慮到信號處理中大量存在的復數域參數問題,研究了復數域最小二乘參數方法,提出了既加權又使用遺忘因子的復最小二乘演算法。
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