逐葉分析 的英文怎麼說
中文拼音 [zhúyèfēnxī]
逐葉分析
英文
blade to blade analysis-
The results of analysis of correlation and variance show that the florescence prolongs with raising elevation, but numbers of microstrobil per short shoot ( sh. sh. ) decrease evidently
相關分析和方差分析結果表明,隨海拔高度的增加,花期逐漸延長,但小孢子葉球數/短枝下降。Lacking of space locality in time domain, fourier analysis can only make certain of the integral singularity of a function or signal. as a result ; it is difficult to detect the spatial position and distribution of broken signal by fourier analysis. wavelet analysis has the characteristic of spatial locality, and its wideness in both windows of the time and the frequency can be adjusted, so it can analyze the details of a signal
小波分析優于傅里葉之處在於,小波分析在時域和頻域同時具有良好的局部化性質,因為小波函數是緊支集,而三角正、餘弦的區間是無窮區間,所以小波變換可以對高頻成分採用逐漸精細的時域或空間域取代步長,從而可以聚焦到對象的任意細節。Firstly, by the experiment and analysis, the fractal images are realized between the tree and the triangle through contract the difference of their ifs codes gradually. secondly, it is not the same fractal diagram by the same codes of ifs to produce fractal diagram
為此,論文首先通過對ifs碼的實驗分析,將樹葉迭代碼與三角形迭代碼之間逐漸縮小差距,實現了由樹葉過渡到三角形的一些中間演變圖形。In cucumber, there were obviously si depoist on the older leaves from + si plant, si ca n ' t be observed on the younger leaves from + si plant. there were no silicon distribtion on the - si leaves. by analzing edx map of silicon, it was showed that, in the leaf blades of rices, si exsisted in the form, of fan - shaped and dumbbell - shaped. there were many trichomes which contained si on the surfaces of leave and stems on cucumber
在兩種植物中,水稻表現出老葉硅分佈比嫩葉密集,從葉尖-葉中部-葉基部表現出硅分佈密集程度逐漸降低的趨勢;加硅處理的黃瓜老葉硅的分佈較明顯,但嫩葉和未加硅處理的葉片未見明顯的硅的染色。通過掃描電鏡及硅的x能譜分析顯示,水稻硅呈紡錘體及扇形硅質體。Firstly, we study some models which are often used in reconstructing gene regulatory networks, weighed matrices model, boolean networks model, mutual - information networks model, linear combination model, directed graphs and undirected graphs, bayesian networks model and analyze the strengths and weakness of each model by discussing each model ’ s details
首先,我們探討了用於推斷基因表達調控網路的一些常用模型,加權矩陣模型、布爾網路模型、互信息關聯網路模型、線性組合模型、有向圖和無向圖以及貝葉斯網路模型。逐個分析了每種方法的優缺點。分享友人