矢量波函數 的英文怎麼說

中文拼音 [shǐliángbōhánshǔ]
矢量波函數 英文
vector wave function
  • 矢 : Ⅰ名詞1. （箭） arrow 2. （尿） excrement; dung; feces 3. （姓氏） a surname Ⅱ動詞（發誓） vow; swear
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. The addition formula of spherical harmonics function of degree n and order 1 is derived using the relations between coordinate varieties after coordinate rotating and the property of the associated legendre polynomial. the relations among the magnetic vector potential, the modified magnetic vector potential and the second - order vector potential ( sovp ) are shown going forward one by one. it is explained that the solutions of electromagnetic fields in different coordinate systems can be transformed and an example having analytical solution is given

    利用坐標旋轉后球坐標變量間的關系和連帶勒讓德多項式的性質推導得到了n次1階球諧函數的加法公式；以遞進的方式說明磁矢量位、修正磁矢量位與二階矢量位的關系，寫出了引入二階矢量位的過程；以時諧場矢量邊值問題為例，闡明了不同坐標系下電磁場解的相互轉化原理，給出了一個解析解的轉化例子；在球坐標下，引入了較球矢量波函數更普遍的兩類矢量函數，給出了其在球面上的正交關系。
  2. Based on the extended boundary condition method and addition theorem of vector spherical functions, this paper study the light scattering problems of aggregate spheres from the angles of a single sphere, two - sphere system and multi - spheres system

    本文基於擴展邊界條件法及矢量球諧函數的加法定理，通過嚴格求解maxwell方程所得到的散射傳輸矩陣，對與入射波波長可比擬的群聚球形粒子的散射問題進行了研究。
  3. We try to give an understanding of the extended schr ? dinger equation. the state vector of a microscopic system may be described by a real two - dimensional vector

    摘要將試圖給出關于推廣的薛定諤方程的一個可能的理解。對應到一個滿足薛定諤方程的波函數，存在兩個相互垂直的二維矢量。
  4. In this article, introduce the important meanings of a - b effect, first is a have physics factors, second is wave function phase factor is connected with geometrical factor in ( b = 0, a 0 ), through a - b effect, we know : electromagnetic field vector e, b is local quantity, electromagnetic potential a, is global quantity, adding a, description and by the way of loop integral, electromagnetic field " effect is completely descripted

    本文介紹了有重要歷史意義的a - b效應， a - b效應揭示了兩點物理觀念的變革：一是電磁矢勢有物理效應。二是在無場強但有磁矢勢（ b = 0 ， a 0 ）的區域，波函數的相位因子與其運動空間結構有關。 a - b效應顯示； e 、 b是局域量， a 、是總體量，只有加入a 、之後的描述，並通過a的環路積分，才能對電磁場的作用做出完全準確的描述。
  5. First we introduce theory and merits of graphic wavelet transform, then mallat algorithm, multi - scale characteristic, quadratic b - alpine wavelet and the coefficients of this filters, and etc. later we calculate the gradient matrix based on the result of wavelet transform, thin the contour and get spatical information

    先介紹圖像小波分解方法的原理、 mallat快速演算法、多尺度特性、 3階b -樣條小波基函數的選取及其濾波器系數的推導等，然後根據小波變換結果計算梯度矢量矩陣，進行非極大值抑制和雙閾值化，提取目標輪廓。
  6. 2. we present a solution to the scattering of gaussian beams by a concentric multilayered non - confocal spheroidal particle by taking a concentric two - layered one as an example. because the boundaries of these two layers are connected with two different spheroidal coordinate systems, firstly, the electromagnetic fields between the inner and outer boundaries are expanded in terms of the spheroidal vector wave functions with reference to these two systems, and the electromagnetic fields within the inner boundary with reference to the system for it

    2 .以雙層橢球為例，我們提出了一種研究同心非共焦多層橢球粒子散射的方法，首先把兩層橢球之間的電磁場用對應于兩個橢球坐標系的橢球矢量波函數展開，這兩個橢球坐標系分別與兩層橢球的邊界面相聯系，在每層橢球邊界面上分別應用邊界條件，建立關于各展開系數的方程組。
  7. Vector wave function

    矢量波函數
  8. Secondly, the electromagnetic fields between the inner and outer boundaries are expressed in terms of infinite series with spherical vector wave functions using the relations between the spheroidal vector wave functions and spherical ones

    然後根據橢球矢量波函數與球矢量波函數的關系，把兩層橢球之間的電磁場表示為球矢量波函數的級數形式，由球矢量波函數的正交性，進一步建立各展開系數之間的關系。
  9. The general form of dyadic green ' s function of non - divergence electromagnetic field in chiral media was deduced by moment method, and the expression forms of the m and n vector wave functions for dyadic green ' s function of non - divergence electromagnetic field was also presented

    摘要應用矩量法導出了旋波媒質中無散電磁場並矢格林函數的普遍形式，然後給出無散電磁場並矢格林函數的m和n類矢量波函數的表示形式。
  10. This thesis in theory deals with electromagnetic wave scattering by multilayered confocal and non - confocal spheroidal particles illuminated by gaussian beams, in which the main contributions are as follows : 1. in the case of multilayered confocal spheroidal particles, the scattered fields as well as the fields within each layer are obtained in terms of infinite series with spheroidal vector wave functions by using an appropriate expansion of the incident gaussian beam. by virtue of the boundary conditions, we write the set of equations for determining the unknown expansion coefficients and then solve it

    本文從理論上研究了多層共焦和非共焦橢球粒子對高斯波束的散射，主要成果如下： 1 .我們研究了多層共焦橢球粒子對高斯波束的散射，把入射高斯光，散射場，各層橢球內的電場和磁場用適當的橢球矢量波函數展開，應用電磁場邊界條件，寫出確定各展開系數的方程組，求出散射場系數，進而求出散射場及散射截面。
  11. In the phase of training, it gets the sampling data from the wave files which were stored in the voice library by using the mci functions. then calculates the character vector ( 12 ranks of lpc and lpcc ) and trains them by clustering method, so we get the templates used by speech - recognition, this templates were stored in the template library. in the state of recognition, after calculating the character vector of input voice, we compare it with the character vectors of templates, and then find the best one or refuse it

    系統的組成模塊與語音識別系統的基本構成模型基本一致，在訓練過程中，通過調用mci （ mcimultimediacontrolinterface ）提供的函數從語音庫中的波形文件中讀取采樣數據，分幀計算出由12維線性預測系數和12維線性預測倒譜系數構成的特徵矢量，並按照聚類的方法進行訓練，得到后續語音識別時需要的模板，存放于模板庫中。
  12. In our proposed method, both the objective function and the perfect reconstruction condition are expressed as a quadratic function of the prototype filter coefficient vector

    該方法中，目標函數和完全重構條件均被表示成為原型濾波器系數矢量的二次函數形式。
  13. In the process of comparison, it is found that the new vector used by this paper is suited to be taken as statistic feature of sar area objects. artificial neural network ( ann ) is always used in image classing. this thesis used bp network, rbf network and sofm network to analyze sar area objects, with gray level, average and wavelet analysis based features as the inputs

    人工神經網路是模式識別的重要工具，本文分別採用bp神經網路、徑向基函數（ rbf ）神經網路、自組織特徵映射神經網路對sar圖像面目標進行了分析，選用灰度值、均值、小波紋理特徵等不同的特徵作為輸入矢量，得到了高的分類精度。
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