points of maximal 中文意思是什麼
points of maximal
解釋
最強心尖搏動點-
South of japan, the kuroshio path of maximal velocity is outside the other three seasons in winter. in the kuroshio extension, the two points of the lee - wave also shows seasonal variabilities, and the path is most winding in summer, straight in fall
黑潮延續體最大流速主軸在西段的第一個峰處，冬季的峰值點比其它各季向東移了一個經度；第二個峰處，則以夏季彎曲最為平緩，且在155 e附近有一個向南的小彎曲路徑。 -
In this chapter, firstly, we apply a result of [ 20 ] to prove that for a class of quasisymmetric homeomorphisms with substantial boundary points, the maximal dilatation of the extremal quasiconformal extension equals the supremum of the ratios of the moduli of quadrilaterals, which improve the result of [ 148 ]
在本章中，我們首先利用了文[ 20 ]的結果，研究了單位圓周上一類具有本質邊界點的擬對稱同胚，證明了它的極值擬共形延拓的最大伸縮商等於四邊形模之比的上確界，改進了文148的有關結果 -
Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter. image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target
論文在紅外目標檢測方面，以對經過預處理的圖像進行分割為切入點，採用二維類間方差法和局域生長法來進行圖像的分割，消除了原始圖像中一些不可能為目標的孤立噪聲點和大面積的背景區域。 -
Considering the number of the feature points extracted in different images is not equal and their locations are also not corresponding, the scheme presents the closest interval criterion and the svd algorithm to accurately register the retinal images. in order to meet the practical requirements of image registration precision and speed, the paper describes the maximal correlation objective function and uses the simplex - simulated annealing algorithm to optimize the parameter
在基於特徵對應性圖像配準演算法中，利用多方向探測方法準確提取了視網膜圖像中的血管交叉點和分枝點，對于提取得到的配準及參考圖像特徵點之間非對應性且數目不等這一配準演算法中不可避免的問題，本文提出了距離最近標準和svd分解方法，有效的解決了這一問題。 -
Besed on wavelet " s well localized characterizes in time frequency and space frequency, we can exactly depict events of nonnoise by decomposing to signal using binary - wavelet transform. for events of noise, local max can be found at singular points of signal by using wavelet transform norm of signal, so adopting multiscale wavelet analysis the maximal point of wavelet transform norm, which risen by the noise, with increasing of scale, which rien by the fault appeared. gived a properly threshold and compared the relation of data that have been transformed not only find the fault in the low noise signal but also resume the signal by filtering noise, which have good power of examining singular signal being unexpectedly change
對于噪聲中的事件點，利用信號的小波變換的模在信號的突變點取得局部最大值，採用多尺度（多分辨）小波分析，則隨著尺度的增大，噪聲引起的小波變換模的極大值點迅速減少，而故障引起的小波變換模的極大值點得以顯露，我們給出一個適當的閥值，比較閥值和變換后數據的關系，不但可以在低信噪比的信號中監測到故障信號，而且可以濾去噪聲恢復原信號，對突變的奇異性信號具有良好的監測能力，能夠有效地找出噪聲中的事件點。
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