fitting polynomial中文是什么意思

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中文翻譯
造句

多頂式擬合
選配多項(xiàng)式

fitting n. 1.配合，裝配，裝修。 2.(衣樣的)試穿。 3. ...
polynomial adj. 1.【動(dòng)、植】多詞學(xué)名的。 2.【數(shù)學(xué)】多項(xiàng)式 ...
fitting of a polynomial 多項(xiàng)式的擬合
polynomial fitting 多項(xiàng)式擬合法
polynomial curve fitting 多項(xiàng)式曲線擬合
polynomial fitting method 多項(xiàng)式擬合方法
polynomial adj. 1.【動(dòng)、植】多詞學(xué)名的。 2.【數(shù)學(xué)】多項(xiàng)式的。 n. 1. 【動(dòng)、植】多詞學(xué)名。 2. 【數(shù)學(xué)】多項(xiàng)式。 a polynomial expression 多項(xiàng)式。
polynomial of 次多項(xiàng)式
fitting n. 1.配合，裝配，裝修。 2.(衣樣的)試穿。 3.〔 pl.〕【機(jī)械工程】用具；零件，附件，(接頭)配件。 4.家具，裝置，設(shè)備，器材。 a fitting shop 裝配車間；裝配廠。 be ready for a fitting 準(zhǔn)備試衣。 gas and electric-light fittings 煤氣和電燈設(shè)備。 adj. 適當(dāng)?shù)摹?adv. -ly ,-ness n.
fitting to fitting管件直接
t-fitting t形支管
addition of polynomial 多項(xiàng)式加法
affectless polynomial 無(wú)偏差多項(xiàng)式
affine polynomial 仿射多項(xiàng)式
alexander polynomial 亞歷山大多項(xiàng)式
algebraic polynomial 代數(shù)多相式; 代數(shù)多項(xiàng)式
andre polynomial 安得列多項(xiàng)式
approximation by polynomial 多項(xiàng)式逼近
approximation polynomial 近似多項(xiàng)式
associated polynomial 伴隨多項(xiàng)式
auxiliary polynomial 輔助多項(xiàng)式
bernoulle polynomial 伯努利多項(xiàng)式
bernoulli polynomial 伯努利多項(xiàng)式
bernoullian polynomial 伯努利多項(xiàng)式
bernstein polynomial 伯思斯坦多項(xiàng)式

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The paper refers some former experience in the fitted polynomial " s form , and makes certain modifications according to the features of the gun , that provides certain references to act on the following development
在擬合多項(xiàng)式系數(shù)的形式上，借鑒了以往的經(jīng)驗(yàn)，并針對(duì)本炮種的特點(diǎn)作了一定的修改，為以后的發(fā)展提供了一定的借鑒作用。
A time scale of the sample sn has been reconstructed by a polynomial fitting with 9 dated ages and further tested by annual band counting results . in general , the fitting polynomial line is consistent with the annual band growth rate except for that the bottom part of the stalagmite ( a height between 196 to 255mm from the top )
石筍sn通過(guò)9個(gè)~ ( 230 ) th年齡的多項(xiàng)式擬合建立年代序列，利用清晰可數(shù)年層段檢驗(yàn)表明，除底部( > 196mm )外其它時(shí)段基本吻合； bf1結(jié)合~ ( 230 ) th年齡和年層計(jì)數(shù)法定年，年層計(jì)數(shù)結(jié)果表明定年在測(cè)年誤差范圍之內(nèi)。
As the dispersive influence can be easily described by a frequency transfer function , the feasibility of measuring the function with the g - s algorithm is researched numerically in the next part . from the results of simulation with fibers with different length and pulses with different width , it ’ s known that the convergence of the algorithm is related to the difference between the input and output pulse . then , the influence of attenuation and self phase modulation of fiber is discussed , and the influence of the delay phenomenon and fitted polynomial is also analyzed
通過(guò)對(duì)不同光纖長(zhǎng)度和不同輸入脈沖脈寬的計(jì)算,得到了g - s算法的收斂性與輸入波形和輸出波形之間的關(guān)系;在此基礎(chǔ)上,通過(guò)對(duì)光纖損耗、自相位調(diào)制的模擬,分析了損耗和自相位調(diào)制對(duì)光纖傳遞函數(shù)測(cè)量的影響;本文還分析了波形測(cè)量中的拖尾現(xiàn)象和多項(xiàng)式擬合對(duì)測(cè)量的影響,進(jìn)而,對(duì)利用g - s算法進(jìn)行單模光纖傳遞函數(shù)測(cè)量的可行性進(jìn)行了闡述。
Secondly , spfm ( sliding polynomial fitting method ) was discussed and the arithmetic has been compared with pfm ( polynomial fitting method ) . meanwhile , the model was corrected , and the parameters of arithmetic - - system sampling frequency , the length of sliding window and the exponent of fitting polynomial - - have been optimized
并在此基礎(chǔ)上討論了滑動(dòng)窗多項(xiàng)式擬合預(yù)測(cè)算法（ spfm ），對(duì)該算法與普通的多項(xiàng)式外推預(yù)測(cè)進(jìn)行了比較，對(duì)模型進(jìn)行了適應(yīng)性修正，并對(duì)算法的參數(shù)：系統(tǒng)采樣頻率、滑動(dòng)窗大小、擬合多項(xiàng)式指數(shù)進(jìn)行了優(yōu)化。
First . adjust the fiber to get the interferogram , use the four - step phase shifting method control the change of phase , achieve phase shifting . in data processing , take the pzt ' linear influence into account , calibrae the pzt . unwrapping the phase , gain the continuity , get the actual phase . analyzing the data with zernike orthogonal methord , fit polynomials that are not orthogonal over the data points , through visual c + + program , obtain polynomial parameters . calculate the shape of the surface , compare the result with zygo , then achieve the better experimental result
首先，經(jīng)光纖耦合輸出調(diào)整得到干涉圖，采用四步相移方法，控制干涉圖位相變化，實(shí)現(xiàn)相移；數(shù)據(jù)處理過(guò)程中，考慮壓電陶瓷的非線性影響，進(jìn)行標(biāo)定；對(duì)位相進(jìn)行模式展開(kāi)連續(xù)性處理，得到實(shí)際位相；用zernike多項(xiàng)式正交化方法分析，在離散點(diǎn)上處理數(shù)據(jù)，經(jīng)visualc + +程序設(shè)計(jì)，得到多項(xiàng)式系數(shù)，計(jì)算出面形分布，同zygo所得結(jié)果進(jìn)行比較。

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