FastMap

jedinicni impuls dirakov koj se koristi za pobudjivanje signala na ul azu her je dirakov impuls impuls beskonacno kratkog trenutka trajanja

该程序主要对非球面镜进行波面拟合，首先读入采集的离散面型数据，可以是从椭圆曲面，抛物面等采样得到，也可以是通过其他软件计算得到的数据。然后将数据用Zernike多项式进行拟合得到非球面表达式各项的系数。(The program on the aspheric wavefront fitting, first read into a collection of discrete surface data can be Sampling from the oval surface, the paraboloid, can also be calculated data obtained by other software. However After aspherical expression obtained by fitting the data with Zernike polynomials coefficient.)

矢量的合成分析 求矢量f(n,2)在指数x(n)为高指数年(x(n)>coefh的年）的平均值fh(2)、低指数年(x(n)<coefh的年）的平均值fl(2)、高指数年与气候平均的合成差dh(2)、低指数年与气候平均的合成差dl(2)、以及高低指数年的合成差dhl(2)和差的显著性tn(5)。 (Synthesis of vector demand vector f (n, 2) the index of x (n) for the high-index on (x (n)> coefh of the year) average fh (2), low index on (x (n) <coefh的年）的平均值fl(2)、高指数年与气候平均的合成差dh(2)、低指数年与气候平均的合成差dl(2)、以及高低指数年的合成差dhl(2)和差的显著性tn(5)。)

non binary LDPC Codes: creation des matrice génératrice et de parité

估计类均值向量和协方差矩阵的方法。 类间离散度矩阵、类内离散度矩阵的计算方法 (Estimated class mean vector and covariance matrix method. Between-class scatter matrix, within-class dispersion matrix calculation method)

C++ balagurswamy E-Book for new beginners in c++.

本文将介绍模糊控制的思想,模糊控制的matlab/simulink 2012b仿真以及模糊控制器的C语言代码导出操作.这里没有复杂的理论公式,只有简单的语言描述和具体实现过程.(This article will introduce the idea of fuzzy control, fuzzy control matlab/simulink 2012b simulation and fuzzy controller C language code export operation.There is no complex theoretical formula, only a simple language description and specific implementation process.)

matlab code for A Novel Approach to Design and Implement Dierential Time Lapse Video in Real Time Application

详细的介绍了matlab和VC++混合编程时的方法过程，对于想实现混编的同志很有帮助，希望能帮得到大家。(A detailed description of the matlab mixed programming software and other methods when programming process, for those who want to achieve mixed comrades helpful, hoping to help get everyone.)

融合hog与lbp特征的图像分类，使用svm进行分类，最终给出运行混淆矩阵(The image classification of hog and LBP features is classified by SVM, and the run obfuscation matrix is finally given.)