linear predictor 中文意思是什麼
linear predictor
解釋
線性預報值-
The gained snr is higher than the previous algorithm ’ s. a linear least square predictor is presented for the trajectory association algorithm. it can effectively reduce the prediction error and improve the trajectory detection probability
針對軌跡關聯匹配演算法中的軌跡預測誤差大的問題，採用多點最小二乘（ ls ）線性預測器加以改進，減小了軌跡的預測位置誤差，提高了目標軌跡的檢測概率。 -
Each band of hyperspectral image has the same physical structure, so we classification the first band, and design an optimal linear predictor for each class to make the mean prediction square error minimal, and then we use jpeg - ls algorithm to remove the spatial redundancy
由於高光譜圖像每個波段都具有相同的物理結構，先對首幅圖像進行分類，在每個子類中分別使用各自的最佳線性預測器，將該類中的相鄰譜段進行預測並將預測殘差均方降為最小，然後用jpeg - ls演算法去除殘差圖像的相關性。 -
Secondly, hyperspectral images are hard to compress because of their abundant details, complicated texture and insignificant special correlation. making use of the significant spectral correlation within the hyperspectral images, we propose an optimal linear predictor which makes the square error minimal
針對高光譜遙感圖像細節豐富紋理復雜，空間相關性弱，難于壓縮的特點，本文充分利用了高光譜遙感圖像的譜間相關性，設計出對相鄰譜段進行預測並將預測殘差均方降為最小的一種最佳線性預測器。 -
If the probability of obtaining a t statistic is low, then you can reject the null hypothesis that the mean is the best predictor and, correspondingly, gain confidence that a simple linear model offers a good fit for the data
如果獲取t統計值的概率很低，那麼您可以否定均值是最佳預測值這個無效假設，與此相對應，也就確信簡單線性模型與數據非常吻合。 -
The primary works and innovations of this paper include but not limited to : ( 1 ) considering the nonlinear, time - varying and uncertain characteristics of networks, a new active queue management ( aqm ) algorithm, i. e. nnpc - aqm was proposed based on predictive control theory, which requires less model accuracy. in order to realize fast control, a predictor was constructed using two - layer linear neural network to predict the future queue length, and a controller was composed using two layers of nonlinear neural network to optimize the next control volume, i. e. drop probability
本文研究的主要內容及創新點如下： （ 1 ）針對網路的非線性、時滯、不確定特點，結合預測控制理論提出一種新型主動隊列管理（ aqm ）策略nnpc - aqm ，該演算法基於單值預測控制思想，為了實現快速控制，採用兩層神經網路構造預測器，估計未來時刻隊列長度；採用兩層非線性神經網路組成控制器，實現對下一步丟棄概率的優化。 -
Admissibility of linear predictor in the general gauss - markov model under matrix loss
模型線性預測的可容許性 -
A one step adaptive linear predictor is used to predict the coming video traffic from users, and then the predicted results are used to help dba accurately distribute bandwidth to satisfy users ' needs
該演算法利用自適應線性單步預測器對未來到達的平均視頻流量進行預測，實時預測結果用於對下一個發送時隙的計算，使得帶寬分配演算法能夠充分滿足實時視頻流量需求。 -
What ’ s more, we design a 3d prediction compression scheme. the scheme is based on our optimal linear predictor and we use jpeg - ls lossless compression algorithm to compress the residual images. the scheme costs less time in computing, but works much better than jpeg - ls algorithm and software winrar
此外，用基於jpeg - ls的無損壓縮演算法對運用我們設計出的最佳線性預測器預測得到的殘差圖像進行壓縮，運算速度很快，壓縮比也大大優于jpeg - ls演算法和winrar壓縮軟體，具有很強的實用性。 -
The design theory of neural networks and the estimations of linear systems and nonlinear systems with dead time using neural network are discussed. neuro - pid internal model control, adaptive pip controller based on neural network and adaptive smith predictor using neural network are proposed for time - delay systems. the simulation experiments and the real - time temperature control of electrical furnace are made
文中著重研究了神經元網路設計理論、基於神經網路的線性和非線性時滯對象辨識及時滯系統控制方法，以此為基礎提出了時滯系統神經元自適應pid內模控制、時滯系統神經網路自適應pip控制以及神經網路自適應smith控制方法，並進行了控制系統的實例設計與模擬實驗。 -
Finally, some illustrative examples are given in this paper as a proof that optimal linear unbiased predictor is a better predictor than others
最後，文章還給出了幾個實證研究的例子，證明了最優線性無偏預測是一種比較好的預測方法
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