遞推濾波 的英文怎麼說

中文拼音 [dìtuīlǜbō]
遞推濾波 英文
recursive filtering
  • 遞 : Ⅰ動詞（傳送;傳遞） hand over; pass; give Ⅱ副詞（順著次序） in the proper order; successively
  • 推 : 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...
  • 濾 : 動詞（除去液體雜質） filter; strain
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  1. In hardware, we choose anti - disturbance photoelectric isolative sensor, take rc filter to resolve high - frequency for anti - disturbance. in software, we adopt arithmetic of recursion mean value to collective signal values to resolve low - frequency ac and pinnacle pulse disturbance

    在硬體方面，選用抗干擾能力強的光電隔離電量傳感器，並採取rc濾波抗干擾措施解決中高頻干擾問題；在軟體方面，對採集到的信號量採取遞推平均值演算法，解決低頻交流和尖峰脈沖干擾問題。
  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遞推演算法對電機起動時的參數進行估計，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遞推演算法出發，推得了適應電機這個非線性控制系統線性化的推廣卡爾曼濾遞推波演算法。
  3. The research analysed the influence of observational noises about temporal correlation, and gives recursive formula of kalman filtering

    分析了測量噪聲時間相關對卡爾曼濾波結果的影響，給出了觀測噪聲時間相關時的卡爾曼濾波遞推公式。
  4. The innovations consist of : synthetically restraining the filter ' s divergence, as effectively improved the filter ' s numerical stability ; a parallel filter structure is creatively designed to eliminate system biases ; and sprt method is used to control the adjustment of the noise statistics, so as to ameliorate the tracking performance of time - variant noises

    對常規的次優遞推sage自適應濾波器進行了改造，包括：對濾波結果發散進行綜合抑制，提高了濾波器的數值穩定性；採用并行結構，消除了結果偏差；應用sprt控制調整，增強了濾波器的動態跟蹤能力。
  5. In analog input channel, the combination software filter is applied to obtain more credible data as possible, and median voting circuit module is adopted in output channel to gain accurate outputs

    在模擬輸入通道中採用中位值濾波和遞推平均濾波的組合演算法，來獲取盡可能可靠的輸入數據，在模擬輸出通道中則採用中值表決電路通用模塊實現正確的模擬輸出。
  6. Finally, a new sub - optimal recursive sage adaptive filter is achieved, which is adapt to process high dynamic data

    最終，得到了一種非常適合於高動態數據處理的新的次優遞推sage自適應濾波器。
  7. For large errors introduced by nonlinear state - space model in passive locating and tracking problems, various suboptimal recursive filtering algorithms are aralyzed and summarized, such as the extended kalman filtering ( ekf ), the modified gain extended kalman filtering ( mgekf ), the second order filtering and the adaptive extended kalman filtering ( aekf )

    摘要針對被動定位跟蹤中狀態空間模型非線性程度較高所引發的濾波精度偏低的問題，分析和總結了已有的包括推廣卡爾曼濾波（ ekf ） 、修正增益的推廣卡曼濾波（ mgekf ） 、二階濾波、自適應推廣卡爾受濾波（ aekf ）等各種次優遞推濾波演算法的特點。
  8. Abstract : the digital pid control equation in microcomputer - based control systems is introduced. the effects of the technologies of digital smooth filtering ， first order recurrence filtering and dynamic compensation for improving the control features and enhancing the control accuracy are emphasized. the results of simulation test are illustrated

    文摘:介紹了微機控制系統中的數字pid控制算式，重點分析了數字平滑濾波、一階遞推濾波和動態補償技術在改善控制性能、提高控制精度中的作用，給出了模擬實驗的結果圖。
  9. 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。
  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。
  11. 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。
  12. The main contents can be listed as follows : 1. after analyzing the properties of the natural illuminating system, a region - based background and natural illumination model is set up using the histogram of image difference and rls filter. on the basis of that model, we propose an adaptive algorithm of judging and updating background image

    基於戶外自然光照系統的特點，建立了基於圖像差分直方圖和遞推最小二乘濾波（ recursiveleastsquarefilter ，簡稱rls濾波器）的局域化背景和光照變化模型，提出了自適應的背景判斷和更新演算法。
  13. The algorithm for the construction of two - dimensional finite wavelet filter with linear phase

    構造二維正交緊支撐線性相位小波濾波器的遞推演算法
  14. Firstly, according to the characteristic that the doppler frequency shift signal can be approximated as a single sinusoid signal, the extended sinusoid signal retrieval ( pisarenko and esprit ) methods are presented and signal state and measurement formulations are developed, so the kalman filter recursive method is got. the brief introduction of low velocity moving target doppler frequency shift signal wigner - ville transformation and wavelet transformation expression are presented in this paper. secondly, because the clutter is gaussian distribution, cumement and high - order spectrum based methods are presented and the simulation results prove their good performance to suppress gaussian clutter in low velocity moving target doppler frequency shift signal processing

    一個方面是根據低速目標的多普勒信號可簡化為單一正弦波形式這一特點，得到了擴展的高斯色噪聲背景下的諧波恢復演算法，即高斯色噪聲中的pisarenko諧波恢復法和旋轉因子不變法（ esprit ） ；並推導了信號的狀態方程和觀測方程，進而得到基於卡爾曼濾波的遞推演算法對信號進行提取；本文還簡單的介紹了低速運動目標的多普勒頻移信號的wigner - ville變換與小波變換；另一個方面是針對雜波服從高斯分佈這一特點，提出了對接收信號求累積量和高階譜來對高斯雜波進行抑制。
  15. As other predictive filters, state space is recursively got from measure space with system model by using the particle filter

    這種濾波和其他預測性濾波一樣，可以通過模型方程由測量空間遞推得到狀態空間。
  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. So, in this paper, the theory and algorithm of vr are being developed. in this paper, several key problems in vr process are being discussed both in theory and application, which include pre - processing, frame decomposing of raw voice signal, characteristic selection and calculation, dynamic mapping of characteristics. linear prediction model, model coefficients ( lpc ), as well as cepstrum coefficients are well analyzed both in analysis and calculation aspects

    作者在本論文中，對國內外語音識別技術發展狀況做了較全面的總結分析，對語音信號產生模型、線性預測編碼方法、求解lpc正則方程的德賓遞推演算法、語音信號同態處理方法、 lpc倒譜特徵計算、動態特徵匹配等語音識別的關鍵環節的技術問題進行了深入的理論分析和模擬研究，用matlab語言編寫了語音信號濾波、分幀、特徵計算和匹配軟體，並給出了模擬計算結果。
  18. By the theory of z transformation of linear system and matrix, we proved the validation of the averaging filter method using in ietd to cancel oscillation. then we illustrate the disadvantage of using averaging filter and give a new averaging filter that we note as phase - modified averaging filter, which can reduce the disadvantage. at the end of this chapter, we study the potent of reducing the time - cost of ietd by taking account the short duration characteristics of incident impulse

    本文第二章，首先簡述了時域積分方程遞推解法（ ietd ） ，然後推導了應用於旋轉對稱體的，能夠減少計算量的ietd方法，重點闡述並應用線性系統的z變換理論和矩陣理論研究了ietd方法中遇到的穩定性問題，從理論上證明了平滑濾波技術的有效性，指出了它對計算精度的影響，並在分析的基礎上提出了新的相位修正平滑濾波方法。
  19. Given the condition of the fusion tracking under multiple sensors non - linear measurements, this paper applies the conclusion of the analysis of single sensor decoupled cmkf, tss filter and tss variance to the fusion tracking system. it also studies their application in basic measurement fusion and track fusion algorithm, and covariance recursive formula of track fusion is deduced. which offers a new way for steady - state performance evaluation of multi - radar fusion tracking

    考慮多傳感器非線性觀測下的融合跟蹤，論文將單傳感器解耦cmkf 、 「暫穩態」濾波器以及「暫穩態」方差分析的結論推廣應用到融合跟蹤中，研究了其在基本的量測融合和航跡融合演算法中的應用，推導了航跡融合中互協方差的遞推公式和「暫穩態」公式，為多雷達融合跟蹤的穩態性能估計提供了一種新途徑。
  20. First, being based upon kalman filter, extended kalman filter formulas was established ; second, with using extended kalman filter in non - linear dynamics system maximum likelihood identification method, the self - contained formulas of estimating parameter was established ; third, according to the air layout of the missle, the aerodynamic parameters identification calculating model was gained, with applying to the non - linear dynamics system maximum likelihood identification method ; finally, with using the calculating model, the aerodynamic parameters were gained. the results which were gained from the calulating model were almost consistent with which were gained from the wind tunnel experiment. thus, it was viable to use the method to estimate the aerodynamic parameters

    首先，以卡爾曼濾波為基礎，將其推廣于非線性動力學系統，建立了廣義卡爾曼濾波算式；其次，把廣義卡爾曼濾波算式應用於非線性動力學系統最大似然演算法和非線性動力學系統最大似然遞推演算法中，建立了各自的參數估計完備算式；再其次，以所建立的傾斜穩定導彈空間運動數學模型為基礎，根據該導彈的氣動布局，推導並建立了該導彈空間運動數學模型，將最大似然遞推演算法應用其中，建立了導彈氣動力參數辨識的數學模型；最後，利用該模型，估算出了氣動力參數，所得結果與風洞實驗數據基本吻合，從而認為採用此方法是可行的。
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