predictive filter中文是什么意思

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中文翻譯
造句

預(yù)測濾波器

predictive adj. 預(yù)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 ...
be predictive of 有...的預(yù)兆
predictive ability 推測能力; 預(yù)測能力
predictive analysis 預(yù)測分析
predictive attention 預(yù)定注意
predictive code 預(yù)測碼
predictive coding 預(yù)測編碼
predictive coefficient 預(yù)測系數(shù)
predictive control 預(yù)測控制; 預(yù)示控制
predictive deconvolution 預(yù)測反褶積
predictive display 預(yù)告顯示
predictive efficiency 預(yù)測效率
predictive encoding 預(yù)測編碼
predictive equation 預(yù)測方程; 預(yù)斷公式
predictive error 預(yù)定誤差
predictive factor 預(yù)示因子
predictive guidance 預(yù)測點(diǎn)制導(dǎo)
predictive homeostasis 預(yù)言穩(wěn)態(tài)
predictive implications 預(yù)先推斷
predictive index 預(yù)測指數(shù)
predictive inference 預(yù)期推理
predictive maintenance 預(yù)見性維護(hù); 預(yù)知維修（狀態(tài)監(jiān)測維修）
predictive methods 預(yù)報方法
predictive model 預(yù)測模型

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例句與用法

Predictive filters with model error estimations using neural networks
用神經(jīng)網(wǎng)絡(luò)估計模型誤差的預(yù)測濾波算法
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(yù)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(tài)空間。
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(zhǔn)確帶來的濾波性能下降甚至發(fā)散，提出了分別基于運(yùn)動學(xué)模型和動力學(xué)模型的預(yù)測濾波算法。
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(tài)情況下gps誤差源對定位精度的影響，并且對全彈道gdop進(jìn)行仿真，以此說明接收機(jī)最佳工作時段的選擇。
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于動力學(xué)模型的預(yù)測濾波算法能夠很好地跟蹤姿態(tài)變化，而在對系統(tǒng)模型一無所知，系統(tǒng)動態(tài)不高的條件下利用基于運(yùn)動學(xué)的預(yù)測濾波算法可以得到較好的姿態(tài)估計。

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