Describes how to add a target you want to profile 描述如何添加要分析的目標(biāo)。
A frequency - domain algorithm to analysis of absolute stability of uncertain nonlinear systems 基于灰關(guān)聯(lián)分析的目標(biāo)識別方法研究
You must add the target you want to profile to the performance session before you launch it 啟動性能會話之前,您必須將您要分析的目標(biāo)添加到“性能會話”中。
According to current literatures , the target detection algorithm based on noise statistical characteristic analysis is the most robust and practical one with the fastest developing speed among all algorithms 從現(xiàn)有的文獻(xiàn)來看,基于雜波統(tǒng)計特性分析的目標(biāo)檢測算法是所有檢測算法中最為穩(wěn)健,最為實用,發(fā)展最快的。
The paper discusses the mission and objectives of industry structure planning and analysis of small towns , establishes the procedure of industry structure of small towns based on the grey relation analysis 摘要討論了小城鎮(zhèn)產(chǎn)業(yè)結(jié)構(gòu)規(guī)劃和產(chǎn)業(yè)結(jié)構(gòu)分析的目標(biāo)與任務(wù),建立了基于灰色關(guān)聯(lián)分析的小城鎮(zhèn)產(chǎn)業(yè)結(jié)構(gòu)分析流程。
The fundamental of this model is assuming that the change of the projection of moving objects on the image plane can be modeled by an affine transformation . then these parameters of regions " motion will be obtained from this model 建立模型的主要根據(jù)是假設(shè)所分析的目標(biāo)在像平面上的投影隨著時間的推移所發(fā)生的演化過程可以用一個仿射運動模型來模擬。
The analyzed object of lineloss is to give an optimal analyzing conclusion by colligating the information from outers , which is also the meaning of the collecting all kinds of the information . so the research for effectively collecting and lifting the right ratio in the maximum seems very significant 線損分析的目標(biāo)就是要將來自各方面的信息綜合后給出一個最佳的分析結(jié)論,采集各類信息的目的也在于此,因此,研究如何有效利用各類可以采集到的信息,最大限度地提高分析的正確率,就顯得非常有意義。
Detecting algorithm based on background prediction , maximum background prediction , most similar background prediction , displacement pipeline filter , target movement characteristics algorithm based on sub - pixel analysis and the method of the contrast similarity among frames are introduced for the target detecting in single image and sequence images 在單幀圖像和序列圖像目標(biāo)檢測方面提出了基于背景預(yù)測的檢測方法,最大化背景預(yù)測方法、最相似背景預(yù)測方法、位移式管道濾波方法、基于亞象元分析的目標(biāo)運動特征算法和目標(biāo)對比度相似性的幀間目標(biāo)檢測方法。