The light intensity distribution was characterized by Fraunhofer diffraction when the projection of light source located in the symmetry center of rectangular aperture and the size of aperture is small enough .

根據菲涅爾-基爾霍夫衍射積分得出矩孔菲涅爾衍射的光強分布表達式欧美很鲁视频在线观看，對該表達式作了數值計算www886ys.com，分析了矩孔尺寸對衍射光強分布的重要影響一级免费黄片插插插。

They concentrate on discussing the dynamic character of the first and second moment of time series. Under normal distribution, the problem of dynamic financial risk measure and elusion can be solved effectively. However, it becomes invalid or is short of effectiveness.

他們的工作主要集中于討論時間序列的一階矩和二階矩的動態(tài)性質福利一区首页，能夠有效地解決正態(tài)分布條件下動態(tài)金融風險的測度與規(guī)避問題亚洲三级片久久91，對于非正態(tài)分布條件下相關主題的討論具有一定的局限性日批国产。

Combining the principle of generalized Paretodistribution fitting the tail of a distribution with compound extreme value distribution theory, this paper puts forward Poisson-GP compound threshold distribution model, and gives the results estimated by MLE, CMM and PWM respectively.

論文結合廣義Pareto分布擬合底分布尾部的原理與復合極值分布理論，構建Pois(來源：A0e1e1eBC論文網www.abclunwen.com)son-GP復合超閾值分布91无码白浆丝袜在线播放，并給出了極大似然法手机日韩精品第一页在线观看免费、復合矩法和概率權矩法的估計結果精品久久久久久无码中文字幕。

This project also obtained several limit theorems for some important dependent random variables and stochastic processes, such as the Strassen law of the iterated logarithm for negatively dependent random variables, strong limit theorems for mixing random vectors in Banach spaces, sample path properties for two-parameter fractional Wiener processes, and so on.

隨機環(huán)境中的隨機變量與隨機過程的研究在國內外相當活躍，本項目主要研究它們的極限性質AV午夜福利在线观看，著重研究了隨機風景中隨機變量與隨機過程的極限性質男人的天堂爽视频，主要取得了以下幾個結果：首先對簡單對稱的Kesten-Spitzer隨機游動在低階矩的條件下給出了強逼近，大大減弱了前人要求任意階矩的條件免费A级毛片在线视频观看，然后對獨立風景中的一般隨機變量給出了強逼近的一般性結果黄片xxxxx，由此導出在風景和隨機變量都只具有低階矩的條件下的獨立但不同分布、混合相依變量的強逼近久久婷婷加勒比一本到，在只有弱高于二階矩的條件下得到了重相對數律和弱收斂网站在线播放你懂的；給出了連續(xù)時間參數的Brown風景中Brown運動和穩(wěn)定風景中穩(wěn)定過程的滯后增量和連續(xù)模等精確樣本軌道性質；同時給出了一些重要的相依隨機變量和過程的若干極限定理网址国产，如負相關隨機變量的Strassen重對數律自拍偷拍亚洲天堂、抽象空間上混合相依變量的一些強極限定理成立的充分必要條件、兩參數分數Wiener過程的樣本軌道性質等国产mv最爽乱婬视频免费看。

The calculation of dipole moment by MEEM The dipole moment is a physical quantity, which can indicate the charge distribution of the molecule.

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The calculation of dipole moment by MEEMThe dipole moment is a physical quantity, which can indicate the charge distribution of the molecule. The value of dipole moment can be conferred from the situation of the molecular symmetry, and vice versa.

偶極矩是表示分子中電荷分布情況的物理量泰国女人一级AⅤ视频免费看，可以由分子的對稱性推測分子有無偶極矩，也可由分子有無偶極矩及偶極矩的大小了解分子結構的信息真人特级毛片免费视频。

The calculation of dipole moment by MEEM The dipole moment is a physical quantity, which can indicate the charge distribution of the molecule. The value of dipole moment can be conferred from the situation of the molecular symmetry, and vice versa.

偶極矩是表示分子中電荷分布情況的物理量超碰免费在线，可以由分子的對稱性推測分子有無偶極矩，也可由分子有無偶極矩及偶極矩的大小了解分子結構的信息国产第三页。

Owing to the drawbacks of analytical shimming, this paper puts forward the concept of passive numerical shimming for searching a method of compensating Bz'easily to a high level and with a low cost. Based on the magnetic field caused by a magnetic moment, the distribution of moments in a superconducting NMR imaging megnet can be determined through some pseudoinversion algorithm directly from Bz'. The moments are used to compensate Bz'.

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In this paper, an adaptive algorithm for singular points detection is proposed, which is based on the behavior of Gaussian-Hermite moments. In order to detect singular point accurately, the distribution of Gaussian-Hermite moments of different orders of the fingerprint image in multiple scales is used.

介紹了一種基于Gaussian-Hermite矩分布屬性的自適應指紋奇異點定位方法，為了準確地確定奇異點在线A片中文亚洲，用到了指紋圖像在多種尺度下的不同階Gaussian-Hermite矩分布国内免费自拍1视频在线观看网址，并用一種基于主分量分析(principalcomponentanalysis，簡稱PCA)的方法分析指紋圖像的Gaussian-Hermite矩分布亚洲区国产日韩区在线观看。

In this paper, an adaptive algorithm for singular points detection is proposed, which is based on the behavior of Gaussian-Hermite moments. In order to detect singular point accurately, the distribution of Gaussian-Hermite moments of different orders of the fingerprint image in multiple scales is used. A PCA-based method is used to analyze the distribution of Gaussian-Hermite of fingerprint image.

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