最優線性濾波 的英文怎麼說
中文拼音 [zuìyōuxiànxìnglǜbō]
最優線性濾波
英文
optimum linear 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
- 線 : 名詞1 (用絲、棉、金屬等製成的細長的東西) thread; string; wire 2 [數學] (一個點任意移動所構成的...
- 性 : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
- 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...
- 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
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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。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。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。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。In order to better detect the image edge information, firstly, non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately
在激光探測系統中,微弱的回波圖像淹沒在強背景噪聲中,為更好地檢測這類含噪圖像的邊緣信息,首先應用特徵方向非線性中值濾波技術,濾去高斯噪聲;其次,選擇( 3 , 1 )雙正交樣條小波作為原始小波濾波器,採用提升方案構造最優雙正交小波濾波器,應用構造的雙正交小波進行多尺度小波邊緣檢測;同時,通過定義浮動閾值,並應用於圖像邊緣檢測,較準確地定位了邊緣位置。In order to better detect the image edge information, firstly, non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately
在激光探測系統中,微弱的回波圖像淹沒在強背景噪聲中,為更好地檢測這類含噪圖像的邊緣信息,首先應用特徵方向非線性中值濾波技術,濾去高斯噪聲;其次,選擇( 3 , 1 )雙正交樣條小波作為原始小波濾波器,採用提升方案構造最優雙正交小波濾波器,應用構造的雙正交小波進行多尺度小波邊緣檢測;同時,通過定義浮動閾值,並應用於圖像邊緣檢測,較準確地定位了邊緣位置。This paper utilizes stochastic optimal control theory, ito formula in stochastic analysis and nonlinear filter technique to maximize the expected utility from the terminal wealth
本文運用隨機最優控制理論、隨機分析中的it ( ? )公式及非線性濾波技術,研究投資者極大化終止時刻期望效用的最優投資策略問題。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。In chapter 3, based on the idea of joint equalization, we adopt the decision feedback equalizers to perform the second equalization to overcome the problem of filterbank precoders - linear equalizers joint optimization proposed recently, and get a new optimal result
在第三章中,基於聯合均衡的思想,針對國際上最新提出的濾波器組預編碼-線性均衡最優設計中存在的問題,文章提出了採用判決反饋均衡器完成二次摘要均衡,以消除殘留的塊間干擾,得到了新的最優設計結果。Also discussed the methods on how to realize the cwt both in time - domain and frequency - domain and how to design the gm - c bandpass filter used in realization of cwt. in order to optimize the performance of gm - c filter, linearization techniques are investigated and proposed. due to process variation and parasitics, an automatic tuning is designed for center frequency / 0 and quality factor q also, in this thesis, 16 - channel analogue cmos cwt circuit has been realized
論文圍繞連續小波變換的模擬電路實現這一熱點問題,討論了連續小波變換的時域和頻域實現方法;具體分析了并行結構與串列結構的優缺點;研究了頻域法中的跨導-電容帶通濾波器的設計;給出了改善跨導輸入級傳輸特性的線性程度並擴大線性范圍的具體方法;設計了片內自校正(可調諧)環節使濾波器參數自動調整到設計標準值;最後給出了16通道濾波器組實現小波變換的方法。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。And some optimal design of fir digital filter are researched. such as, linear programming design, least squares design
同時也研究了一些線性相位fir濾波器的優化設計方法,如最佳一致逼近法、最小均方差法和線性規劃的設計方法。Data fusion is the key technology to optimize the bistatic and multistatic radars. the thesis introduces concentrative fusion, non - feedback distributed optimal fusion, feedback distributed optimal fusion and sub - optimal fusion. in addition, by applying these fusion methods and nonlinear filter algorithm mentioned above, tracking imitations of mobile objectives are obtained in multistatic radar circumstance
5 、數據融合是實現雙(多)基雷達性能優化的重要技術,本論文討論了集中式融合、不帶反饋分散式最優融合、帶反饋分散式最優融合以及次優融合等幾種融合方式,結合前面討論的非線性濾波演算法,模擬多基雷達的環境對機動目標進行了跟蹤模擬。Latest progresses on some fundamental and important problems about information fusion in sensor networks are presented, including the multisensor distributed decision in the most general case in the sense of globally optimal fusion ; the optimal dimension compression of the sensor observations or local estimates ; the best linear unbiased estimation fusion formula and the efficient iterative algorithm ; the distributed kalman filtering fusion for the multisensor dynamic systems with cross - correlated sensor noises ; and the fault - tolerant interval estimation fusion
摘要系統地闡述了傳感器網路環境中幾個基本而又重要的信息融合問題的最近進展,包括:最一般條件下全局最優的多傳感器分散式統計判決;傳感器觀測數據或局部估計的最優維數壓縮;一般條件下最優線性無偏估計融合公式及其有效演算法;傳感器觀測噪聲相關情形下動態系統的卡爾曼濾波融合;容錯條件下的區間估計融合。Use the traditional kalman filter algorithm and optimal linear fusion theory to export the centralized and the decentralized algorithm, then, analyze the strongpoint and the defect of various structures. 2
在經典kalman濾波估計理論的基礎上,利用最優線性融合理論,分別給出了集中式kalman濾波及各種分散式kalman濾波的演算法,並分析了各種演算法的優缺點。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。The output of filter is transformed and then dielectric loss angle ' s tangent is computed by three method - fft, faft or czt, later the three method ' s advantage and disadvantage on computing compute dielectric loss angle ' s tangent is contrasted, at last faft is selected in this system
分別用快速傅立葉變換( fft ) 、抗混疊快速傅立葉變換( faft ) 、線性調頻z變換( czt )對濾波器輸出信號進行變換進而計算介損角正切值,然後比較它們三者在此問題上的優劣,最後我們選用faft法。分享友人