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jisuanfangfa
- 计算方法的七个典型程序。全部都有。拉格朗日插值.cpp 二分法.cpp 高斯.cpp 高斯-赛德尔.cpp 龙贝格.cpp 龙格库塔.cpp 牛顿迭代.c-Method of calculation of the seven typical program. All of them. Lagrange interpolation. Cpp dichotomy. Cpp Gaussian. Cpp Gauss- Seidel. Cpp Rhomberg. Cpp Runge-Kutta. Cpp
linewidth_measure
- 基于光学外差法测量超窄线宽激光器的拍频计算DFB激光器的线宽，包括Gaussian线型与Lorentzation线型两种。-Based on optical heterodyne beat frequency method, calculating the Gaussian type and Lorentzation type laser linewidth.
shendutuxiang
- 由生成的深度图象数据用平滑算子和差分方法求曲面的高斯曲率和平均曲率-By the depth of image data generated by a smooth operator and the difference method for the Gaussian curvature surface and the average curvature
EM_suanfa
- 基于EM算法的混合高斯分布参数估计方法，包括权值、均值和标准差-Mixed Gaussian distribution parameter estimation method based on the EM algorithm, weights, including the mean and standard deviation
suijixinhaochuli
- 随机变量的产生，其中指数分布的和高斯分布的随机变量采用了变换法，分析它的自相关函数和功率谱密度，-The selection of random variables, in which exponential distribution and Gaussian distribution of random variables using the transformation method, analysis of its autocorrelation function and power sp
Gauss_elimination
- gaussian elemination method
yiweidingchang
- 自己编写的，求解杆问题的简单一维定常传热，并且将数值解与解析解进行了比较，最后用高斯消去法求解的矩阵，适合新手FORTRAN入门参照-I have written, to solve the problems stem simple one-dimensional unsteady heat transfer, and the numerical solution were compared with the analytical solution, and finally with Gauss
SPGP_dist
- 这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。- spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the c
Finalwork
- 结合java图形界面编程实现了计算方法中的相关的算法，包含：雅可比迭代 高斯-塞德尔迭代 拉格朗日插值 主元素高斯消去 高斯-约当消去 牛顿插值 不含列主元高斯约当法 二次多项式拟合 一次多项式拟合 二分法 牛顿迭代 三次样条插值 三对角的追赶法-Combined with java GUI programming calculation method of the related algorithms, comprising: Jacobi iteration Gauss- Seidel it
fmincon_minimization-problem
- Gaussian Random Field 中参数求解的方法，用matlab中的fmincon函数极小化目标函数即得所求解。-The method of Gaussian Random Field parameter solving with matlab in fmincon function minimization objective function that was being solved.
emirs
- EMIRS computes the emissivity 2-D Gaussian dielectric rough using small perturbation method (SPM) -EMIRS computes the emissivity 2-D surface using small perturbation method (SPM)
teiben_V0.6
- 人脸识别中的光照处理方法，高斯白噪声的生成程序，供做算法研究人员参考。- Face Recognition light treatment method, Gaussian white noise generator, Algorithm for researchers to do reference.
Video-classification-
- 本文档包含了对视频分类的方法论文，先提取视频中音频信息和图像信息，然后进行拼接并使用PCA进行降维处理，最后使用高斯联合模型进行学习和分类-This document contains papers on the video classification method, first extract the video audio information and image information, and then stitching using PCA dimension reduction,
nousui
- 高斯白噪声的生成程序，光纤陀螺输出误差的allan方差分析，使用大量的有限元法求解偏微分方程。- Gaussian white noise generator, allan FOG output error variance analysis, Using a large number of finite element method to solve partial differential equations.
solving-differential-equations
- 微分方程数值例子的解法，包括高斯消去法，jacobi迭代法，PR,SOR方法等-Numerical solution of differential equations Examples include Gaussian elimination, jacobi iterative method, PR, SOR method
fenmun
- 是本科毕设的题目，数值分析的EULER法，高斯白噪声的生成程序。- The title of the commercial is undergraduate course you EULER numerical analysis method, Gaussian white noise generator.
fingteng_v83
- 相关分析过程的matlab方法，高斯白噪声的生成程序，旋转机械二维全息谱计算的实用例程。- Correlation analysis process matlab method, Gaussian white noise generator, Rotating Machinery dimensional hologram of practical spectrum calculation routines.
Gussian
- 基于混合高斯模型的背景减除法，用于分离前景和背景-Background subtraction method based on Gaussian mixture model for separating the foreground and background
Q
- 本文以室内、外不同空间的人数统计为背景，研究基于图像的人员计数技术，对某时段内进出摄像机视野中指定区域的人数，或指定区域内在景人数进行统计。主要研究内容有以下几点： （1）人员计数方案论证：本文分析对比了不同人员计数算法，研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。 （2）基于像素统计的人员计数系统实现：①分别采用近似中值背景模型和高斯混合背景模型提取前景图像；②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制；③用前景像素数除以人数得到一个人的像素平均值，
yiepai
- 高斯白噪声的生成程序，ML法能够很好的估计信号的信噪比,采用的是通用的平面波展开法。- Gaussian white noise generator, ML estimation method can be a good signal to noise ratio, Using common plane wave expansion method.