filtered model 中文意思是什麼
filtered model
解釋
濾波模式-
3 ) for weak noise interferogram or filtered interferogram, dyadic wavelet can be used to detect fringe edges. a gvf snake model was used to link discrete edges, the linked edges were kept well accordance with fringes of phase map. 4 ) phase unwrapping algorithm based on edge detection is suitable to well separated fringes, the unwrapped phase can be rewrapped to the original phase map
4 ）對于低噪聲情況下或濾波后的干涉條紋圖，在基於邊緣檢測的相位解纏過程中，利用snake模型可以高效準確的實現邊緣點的連接，所連接的邊緣線與干涉條紋很好的吻合，可將連線的精度控制在三個像元。 -
Derived from optical waveguide fundamentals, outstanding advantages of mfld in high s / n ratio and sensitivity were theoretically presented. to resolve inconsistent change tendencies of mode - filtered light obtained in bare core sensing system and in modified sensing system, that is, the mode - filtered light signal declines with the increase in analyte ris in bare core sensing system but increases with the increase in analyte ris in modified sensing system, we started with light energy radiation theory, and obtained the details of mfld mechanism by discussing in detail the radiant energy ' s reflection and refraction at the interface, thus establishing a mathematical model of mfld. we concluded that the inconsistent change tendencies of mode - filtered light were essentially coherent
為了解決實驗中裸光纖體系與修飾光纖體系在獲取模式濾光信號上出現的不一致現象，即裸光纖體系中隨著分析對象的折射率增大，獲取的模式濾光信號呈下降趨勢，而在修飾光纖體系中分析對象的折射率增大，獲取的模式濾光信號卻是增大的，我們從光的能量輻射學入手，詳細地討論了光輻射能在傳輸路徑上的反射與透射，獲得了模式濾光信號產生的細節，以此建立了模式濾光檢測的新模式。 -
Firstly, while the nominal model is used, the filtering effect is very good. secondly, when the system model is n ' t definite, the filtered heading angle and rudder angle are steady in the error range. finally, when the complicated nonlinear wave model replaces the linear wave model, the filtering effect is also steady, and the estimate precision is high
首先，模擬是在名義模型的情況下進行的，此時h _濾波器的濾波效果很好；其次，我們在系統模型具有攝動的情況下進行模擬，此時經h _濾波器濾波后的航向輸出和舵令輸出基本能夠達到穩定；最後，我們採用較復雜的非線性海浪模型代替線性海浪模型進行模擬， h _濾波器的濾波效果也是比較穩定的，並且估計精度較高。 -
Fourthly, it devises the dw model of the mdss, and puts the data, which had been filtered and transferred, into the sdw
設計了mdss中的數據倉庫模型，並將mis中的源數據經過清洗轉換后導入sdw數據倉庫中。 -
Aiming at the black - box case that local kalman filters provide only the parameters and covariance matrices of filtered states, a novel multi - model adaptive estimator is designed on the basis of the united ci method
在前述保守最優數據融合演算法基礎上，針對局部kalman濾波模型只能給出濾波狀態參數及其方差陣的情況，設計了一種新型的多模型（ mm ： multi - model ）自適應估計器。 -
For power control of listening users, forward power control method are introduced based on full, multichannel, filtered report, and collision method etc. the full report method has redundancy report information, and its real - time performance is bad, multichannel report is introduced to improve the real - time performance, and filtered report is introduced to eliminate the redundancy information, finally the collision method introduced can not only get higher real - time performance but also diminish the redundancy information ; 2. in order to meet the requirements of making the dynamic simulation of trunking group system, the ms ’ s random move equation is brought forward, the simulation of ms ’ s distribution is done and the integrated channel model are presented ; 3. the smart predicative model of power control is introduced to overcome the delay and track the change of the complicated network, with this model, the power control ‘ s performance is greatly improved
全匯報方法存在冗餘的匯報信息，而且實時性較差，為了改善實時性提出了多通道的匯報方式，為了改善冗餘匯報而提出了篩選法，最後介紹的碰撞法在減少冗餘信息的同時又提高了實時性;二、為了集群功率控制動態模擬的需要，提出了移動臺的隨機運動方程，進行了有關移動臺的分佈模擬，建立了綜合的通道模型;三、希望克服延時和跟蹤復雜網路環境變化，提出了功率控制的智能預測模型，通過智能預測模型可以改善功率控制的性能，著重介紹了採用神經網路的方法實現智能預測的通用模型，從而跟蹤復雜多變的無線環境，諸如慢衰落及快衰落（包括多徑衰落、多普勒效應所引起的衰落）等網路特徵，達到預測功率需求;四、採用二級正交碼和智能天線（空分多址）的方法進行組內用戶的識別，改進功率控制效果;五、話權用戶的前向和反向功率控制方法;六、對引入gota的cdma系統提出了復合容量表示方法，並作容量分析，探討有關gota系統的qos問題。 -
The factors original types of bridge statistical model are studied. the statistic model is established. then the useless factors are filtered by recursive regression method and the best statistic model is established
研究了橋梁監控統計模型的因子類型，並利用逐步回歸分析法進行模型因子的篩選，建立統計模型的最優模型。 -
In the machining process, the vibration signals of the tools can be gathered by the data acquisition card, and then the turning tools wear monitoring model is built after the signals are filtered through the method of multivariate statistical analysis
在加工過程中，數據採集單元實時採集刀具的振動信號，經過數字濾波，運用多元回歸建模技術，建立了車削過程刀具磨損監測模型。
分享友人