predictive filter 中文意思是什麼

predictive filter 解釋
預測濾波器
  • predictive : adj. 預言性的;（成為）前兆的。
  • filter : n 1 濾器，濾紙，過濾用料[砂、炭等]。2 【無線電】濾波器；【物理學】濾光鏡，濾色器。vt 過濾，用過濾...
  1. First, calculating time delay and embedding dimension to reconstruct phase space. second, based on chaos theories, the artificial neural network is used to build one - step and multi - steps predictive model. third, combining with an adaptive filter, predictive error is processed so that weak signal is extracted from strong chaotic noise

    研究的內容分為三個方面: （ 1 ）確定嵌入維數和延遲時間重構相空間; （ 2 ）將混沌理論與人工神經網路結合，建立混沌時間序列（混沌背景）的一步與多步預測模型; （ 3 ）結合自適應信號分離器對預測誤差進行處理達到檢測微弱信號的目的。
  2. Radial basis function neural network ( rbfnn ) is chosen to build predictive model. rbfnn is a special type of neural network linear - in - weight in nature and having nonlinear processing properties. finally, an adaptive filter is applicable to do the followed weak signal extraction work

    接著選用徑向基函數神經網路（ radialbasisneuralnetwork ， rbfnn ）建立混沌時間序列預測模型，徑向基函數神經網路是一種局部逼近的人工神經網路，訓練簡潔而且學習收斂速度快，能夠逼近任意非線性函數，最後將預測誤差送入自適應信號分離器進行處理，檢測出微弱信號。
  3. 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。
  4. For kalman filter will tend to instability if dynamical model is incorrect, two algorithms is developed named predictive filter, which are based on kinematics model and dynamics model respectively

    針對模型的不準確帶來的濾波性能下降甚至發散，提出了分別基於運動學模型和動力學模型的預測濾波演算法。
  5. According to the non - real time phenomena of high dynamic flight gps application, kalman predictive filter is designed to process the positioning data so as to reach the real - time demands

    本文分析了高動態情況下gps誤差源對定位精度的影響，並且對全彈道gdop進行模擬，以此說明接收機最佳工作時段的選擇。
  6. Simulation result indicated that predictive filter of the dynamics model may be followed the attitude movement, if disturbance moment is time variable and large relative to gradient moment of gravity, and predictive filter based kinematics is suitable if there is no information about dynamics

    在有較大時變干擾力矩情況下基於動力學模型的預測濾波演算法能夠很好地跟蹤姿態變化，而在對系統模型一無所知，系統動態不高的條件下利用基於運動學的預測濾波演算法可以得到較好的姿態估計。
  7. Weighted input model predictive control algorithm based on kalman predictor and filter

    基於卡爾曼預測估計器的輸入加權預測控制演算法
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