最優濾波 的英文怎麼說

中文拼音 [zuìyōulǜbō]
最優濾波 英文
optimal filtering
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 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...
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  1. In this paper, the concept of acceleration ambiguity function ( aaf ) and acceleration resolution is put forward for the first time. using aaf, the effects of target ' s relative acceleration on several outputs of a linear - phase matched filter are analyzed, such as the output signal - noise - ratio loss, the doppler resolution, the constraint on optimal accumulative time ( opt ) and their tolerable limits

    論文首次提出並研究了加速度模糊函數和加速度分辨力的有關概念，並以加速度模糊函數為分析工具，詳細討論了加速度對線性相位匹配濾波器的輸出信噪比的損失程度、對多卜勒頻率分辨能力的影響程度、對最優相參積累時間的約束關系以及線性相位匹配濾波器輸出受加速度影響的容限等問題。
  2. The former put stress on the research of time optimal control method, fuzzy discursion and moving track, and the latter on the study of ekf recursion algorithms, noise model and noise characteristic identification

    前者的重點是最優時間控制方法、模糊控制器的推理以及運動相軌跡分析；後者側重於ekf的狀態估計方法、噪聲模型對濾波估計性能的影響以及噪聲模型的辯識方法。
  3. The results also show that saastamoinen / niell model can remove the most of the tropospheric delay, and then significantly improve the success rate and the reliability of ambiguity resolution. 4

    結果顯示，不論在模糊度解算的成功率和可靠性上，還是在計算速度上，加權最小二乘法都優于kalman濾波。
  4. Kalman filter is the best estimate under the linear and unprejudiced least mean square error rule

    卡爾曼濾波是線性無偏最小方差準則下的最優估計。
  5. Kalman filter is an optimal filter algorithm in the minimum - mean - square - error sense, meanwhile extended kalman filter is a sub - optimal filter algorithm, which derived from the linearization of nonlinear system using taylor expansion. while the non - linearity of the system is not extreme strong, ekf can achieve approximately optimal filter effect

    Kf是最小均方意義下的最優濾波演算法， ekf則是利用一階泰勒展開將非線性系統線性化而得到的一種次優濾波演算法，在非線性不是特別嚴重的情況下， ekf有著近似最優的濾波效果。
  6. Theory support is provided in this paper when platform parameters are designed. a fir low - pass filter is designed for the experiment following the criterion of maximal - error - minimization. the order and the impulse response sequence of the filter are presented in this paper

    本文運用最大誤差最小準則的優化設計方法設計出本試驗臺要用到的低通濾波器，給出了所設計濾波器的階數和濾波器單位響應序列，並畫出了該序列的幅頻響應特性曲線。
  7. In this dissertation, the data process ( dp ) subsystem and radar control program ( rcp ) subsystem of gbr simulation system have been studied and discussed. the main work and innovation of this dissertation is as follows : ( 1 ) track filter, the basic element of track system, has been researched. we analyze the advantage and disadvantage of common target kinematic model such as constant velocity model, constant acceleration model, noval statistic model

    本文是基於某gbr模擬系統的合作項目中，本人負責的數據處理子系統和雷達控製程序子系統的研究和開發的結果，主要進行的工作和創新有: （ 1 ）基於跟蹤系統最基本的要素-跟蹤濾波，分析了當前常用的微分多項式模型， cv與ca （常速與常加速）模型，時間相關模型， noval統計模型，以及機動目標「當前」統計模型等目標運動模型的優缺點和雷達的觀測誤差。
  8. In this thesis, first, we present the theory of sess system, the generation of the sess spreading code and its characteristics and the acquisition theory of conventional spread spectrum communication system. an efficient acquisition scheme based on periodically transmitting the synchronization head, which is composed of binary chaotic codes, using the matched filter and automatic decision threshold - level control based on a so - called constant false alarm criterion for sess system is present. the acquisition model of sess system is built and simulated in the awgn channel, the raleigh fading channel and imulti - address interfere condition

    本文首先概述了自編碼擴頻通信的原理、自編碼擴頻序列的產生方法及其特性和擴頻通信系統編碼同步的理論，然後針對自編碼擴頻通信系統提出了擴頻序列捕獲方案:周期性地加入混沌序列同步碼，並採用恆虛警率匹配濾波器捕獲法;在加性白高斯噪聲通道、瑞利衰落通道和多址干擾情況下進行了模擬，分析了各種捕獲性能:在選擇性能最優的混沌序列、適當的序列長度、虛警概率及門限值的情況下，可以獲得較短的捕獲時間和較大的捕獲概率。
  9. The final results obtained in this paper contained that the optimal interpolation scheme highlighted by the covariance that the correlation between different time and the correlation between different place being considered ; that the simplification of kalman filter with the singular - value decomposition ( svd ) and the direct construction of state transition matrix pfeceded with " inverse vector expression " ; and that the analysis of t / p data and its blending with theoretical model

    這些成果包括：建立考慮了時間相關的方差矩陣和時空相關的最優插值演算法；對卡爾曼濾波演算法進行了svd簡化以及建立了顯式的狀態轉移矩陣；將t p實時衛星數據進行調和分析並與數值模型進行同化處理。
  10. Since the filtering vector is needed in qrd - rls and qrd - brls, the parallelism of qr decomposing will be impeded slightly. the inverse qr decomposion ( iqrd ) scheme for brls algorithm is proposed in this dissertation to enhance the parallelism, the systolic array structure for iqrd is proposed to calculate the algorithm in parallel

    鑒于碼輔助最優濾波需要求解濾波權值矢量，此時qr分解的計算并行性不如逆正交三角分解（ iqrd ） ，本文提出了基於iqr分解的brls演算法，給出了iqrd - rls / brls的脈動陣列并行計算結構。
  11. The output sinr limitations of mmse and constrained mmoe optimal filter are derived in the cirsumstance aforementioned. these limitations constitute the base of the code - aided optimal filtering and nbi estimate - subtract filtering. this dissertation summarize the recursive least squares ( rls ) algorithm, blind recursive least squares algorithm and the qr decomposing for these two algorithms

    為自適應實現碼輔助最優濾波，本文系統總結了遞歸最小二乘（ rls ）和盲遞歸最小二乘（ brls ）演算法，以及兩者基於正交三角分解（ qrd ）的并行計算結構。
  12. A method for denoising and suppressing clutter based on best tree wavelet packet analysis is developed

    提出基於最優小波包基的非線性濾波法進行雜波抑制。
  13. The deducing of the algorithms has very practical value in state estimation for systems under the complex environments. in the instance of complicated multi - channel system with multiplicative noise, the dissertation discusses the optimal estimation of state filtering and smoothing and the stochastic input signal with the technique of innovation and projection theorem of hilbert space. the main study of the dissertation is introduced as follows : 1 according to the practical requirement of complicated multi - channel system with multiplicative noise, the dissertation broadens rajasekaran filtering algorithm

    本文針對復雜多通道帶乘性噪聲系統，應用新息的方法和hilbert空間的投影定理，對狀態最優濾波和平滑估計、隨機輸入信號的最優估計等理論與應用方面的問題，進行了進一步的探討，著重完成了以下工作：第一，根據復雜多通道乘性噪聲系統問題的實際需要，推廣了rajasekaran濾波演算法。
  14. The improved lms arithmetic can adaptive the minimum pulse response automatically by the guide line of minimum average square error and have the best filtering effect. the method is easy to practise and has been introduced extensively

    採用經過改進的lms （最小均方誤差）演算法來實現自適應濾波器，它以均方誤差最小為準則，能自動調節單位的最小脈沖響應，以達到最優濾波效果，這種方法簡便易行，已經被廣泛採用。
  15. Our aim is to in - depthly study the kalman filtering

    經典的最優濾波包括： wiener濾波和kalman濾波。
  16. A partitioned optimal filtering algorithm for multi - channel systems with multiplicative noise among observation channels is proposed

    摘要針對多通道觀測環境下帶乘性噪聲系統的最優濾波問題，提出了1種狀態最優濾波的分部演算法。
  17. When the observation noise is temporal correlation, kalman filter will not be able to achieve optimization, and its covariance matrix will be wrong

    在觀測噪聲不滿足時間不相關的假設情況下，卡爾曼濾波將達不到最優濾波效果，並且其誤差協方差陣也是錯誤的。
  18. The nonlinear interpolation method is used to compensate the influence of pipe grade and pipe material property ; tool velocity effects are compensated by the fourier transformation and optimal filter theory

    研究用非線性插值技術對管道厚度和材質的影響進行補償，實現了用傅立葉變換和最優濾波方法來消除檢測儀移動速度對漏磁信號的影響，並取得了實驗驗證。
  19. While on another hand, the kalman filter ' s input, including signal and noise, should be well known in statistic mean, in fact, we often cannot get them, then we ca n ' t realize the best estimate

    另一方面，對于卡爾曼濾波，信號和噪聲作為濾波的輸入，在統計意義下，是已知的。而在實際中，常常無法知道其統計特性，或者它是隨時間變化的，上述濾波器就無法實現最優濾波。
  20. We propose two applications related to creases. one is to developing the minutiae - matching algorithm by firstly removing the spurious minutiae. the other is to developing the crease - matching algorithm

    基於最優濾波器，我們提出了多通道的檢測演算法，實驗證明了檢測演算法的有效性和魯棒性。
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