recursive estimation 中文意思是什麼

recursive estimation 解釋
遞歸估計
  • recursive : 遞歸的
  • estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
  1. The thesis, applies the auto - adaptive theory to the arithmetic for mese ( maximum entropy spectral estimation ), and presents new lsll arithmetic for mese, which is based on method of the recursive least square with forgetting factor

    將自適應理論引入最大熵譜估計的演算法研究中，提出帶遺忘因子的基於最小平方準則的最大熵譜估計lsll格梯型演算法。最大熵譜估計演算法的定階準則研究。
  2. Nonlinear recursive minimum model error estimation

    非線性遞推最小模型誤差估計
  3. 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 ）模型的兩段參數估計演算法：兩段遞推最小二乘演算法（ 2 - rls ）和遞推最小二乘-偽逆演算法（ rls - pi ） 。
  4. Aiming at the lower performance and floor effect of the traditional orthogonal frequency division multiplexing channel estimation, the ofdm channel estimation algorithm based on wavelet recursive least square support vector machine ( wrls - svm ) is proposed

    摘要針對傳統多徑衰落下的ofdm導頻通道估計性能低下，地板效應的缺陷，提出了基於導頻的小波遞歸最小二乘支持向量機（ wrls - svm ）時變通道頻率估計演算法。
  5. S. h. chang, and fu - tai wang, 2003, “ multipath detection in underwater using the robust discrete wavelet transform and recursive density estimation ”, proceedings of the fifth conference on undersea technology ( cust 2003 ), pp. 255 - 258

    張順雄、陳建堯、何升運、李信龍， 2003 ， 「準正交序列於水下展頻通訊之應用」 ，第五屆水下技術研討會暨國科會成果發表會，第31 - 36頁。
  6. The first chapter quotes three methods for determining the steady - state equivalent circuit parameters of an induction machine. they are the classical locked - rotor and no - load tests, the direct modification method and the recursive least - squares method. then a new parameter estimation method based on genetic algorithms is presented

    緒論首先引述了確定感應電動機穩態模型參數的其他三種方法：傳統的空載和堵轉試驗方法、直接修正參數法和遞推最小二乘法，並由此提出基於遺傳演算法的參數識別技術。
  7. The criteria used for adaptive feedforward compensation is introduced, two unbalance compensation ways of permanent magnet biased magnetic bearing based on bearing current minimization are studied, the recursive adaptive algorithm and the unbalance compensation on estimation of synchronous rotate speed are studied, the simulation results are given

    在基於零電流補償原則的基礎上，提出基於遞歸運算的不平衡補償方案，進行了理論分析和模擬研究;對基於同步轉速估算的不平衡補償方法進行了詳細的理論分析，並進行了模擬研究。
  8. 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估計方法，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遞推貝葉斯估計演算法，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。
  9. 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。
  10. A regressive prediction model containing recursive kernel regression estimation

    一種包含遞歸的核回歸估計的回歸預測模型
  11. Compared with classical recursive extended least squares, their accuracy obviously is improved. applying these new algorithms to the parameter estimation problem for systems with measurement noises, some new approaches and algorithms of parameter estimation for system with measurement noises, are presented, for example, two - stage rels - gevers - wouters algorithm and three - stage rls - pi - gevers - wouters algorithm, which solve the biased parameter estimation problem by classical least squares method

    並將這些演算法推廣到帶觀測噪聲系統參數估計的問題，給出了帶觀測噪聲系統參數估計的一些新方法和新演算法，其中包括兩段rels - gevers - wouters演算法和三段rls - pi - gevers - wouters演算法，解決了用普通最小二乘法估計帶觀測噪聲系統未知參數的有偏問題。
  12. 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 ）模型參數估計的一些新的辨識演算法，它包括單變量和多變量兩段遞推最小二乘?遞推增廣最小二乘（ rls ? rels ）演算法和兩段遞推最小二乘?偽逆（ rls ? pi ）演算法等。
  13. A recursive algorithm of error covariance matrix of moving horizon estimation

    滾動時域估計中先驗估計誤差協方差陣的遞歸演算法
  14. 3. based on the low - pass filter coefficients of daubechies 4 wavelet, we present another multiscale recursive data fusion estimation algorithm

    3 .基於daubechies4小波的低通濾波系數，發展了一種新的多尺度數據融合估計演算法
  15. 3. a new algorithm, recursive robust minmax estimation algorithm with moving time window is given. the principle to obtain the valve value is also given. how to obtain the algorithm parameters is also given

    提出了一種具有移動時間窗的魯棒極小極大估計演算法。給出了演算法閥值取值的原則和參數取值的大小。
  16. 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估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計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估計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，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。
  17. 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估計問題，研究了復數域最小二乘參數估計方法，提出了既加權又使用遺忘因子的復最小二乘估計遞推演算法。
  18. A recursive parameter estimation algorithm then adjusts the controller online to guarantee the precise current tracking, independent of time - varying motor parameters

    針對電流控制器對電機參數變化敏感的問題，對電機參數進行在線辨識，保證控制器參數與電機的實際參數一致。
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