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H265_2008_8_23
- ZPAV (H.265) is audio-visual codec protocol, very different from H264/MPEG4, ZPAV (H.265) basic algorithm is wavelets, SPIHT, BSW, MMW, ...... ZPAV (H.265) basic algorithm : 1, analysis/synthesis : wavelets 2, denoise : GCV (general
MATLAB1
- 用MATLAB画一个弯曲的圆柱 思想：把圆柱按轴线分若干段，在每个断面画圆，圆的法线就轴线的切向方向。柱面画若干平行于轴线的线条，其中用到平行单位矢量点积等于1，不平行的结果是[-1，1）。 -MATLAB painting with a cylindrical curved thinking: the cylinder axis by a number of sub-paragraph in each section drawcircle, round on the normal ax
gaussQ
- 程序：全主元Gauss消去法 过程：gaussq(aa,bb,xx,n,sgn) 作用：aa为系数矩阵，bb为右端向量，xx为解向量，n为方程阶数，sgn为标识符，1表示计算正常进行，0表示计算失败 方程形式为：aa(n,n)*x(n)=bb(n)-Procedure: All the main element Gauss elimination process: gaussq (aa, bb, xx, n, sgn) Role: aa for the coefficient mat
use_matlab_to_draw__curving_column
- 已知轴线方程,把圆柱按轴线分若干段，在每个断面画圆，圆的法线就轴线的切向方向。柱面画若干平行于轴线的线条，其中用到平行单位矢量点积等于1，不平行的结果是[-1，1）。-Axis equations are known, according to the axis of the cylinder divided into several segments, each section in the circle, the circle axis normal to the tangential di
fit_ML_maxwell
- fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*
fit_ML_normal
- fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u
perceptron
- 感知器 算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 -PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init
Gauss_Elimination
- Gauss Elimination (normal way, or using vector storage). Data in file TP2 (or TP02), which is the file to be run
BayesDiscriminate
- 多元统计分析中的贝叶斯判别，用于主体服从正态分布，且有训练样本时的贝叶斯判别，输出是一个行向量，表示测试样本中每个点所属的类别-Bayesian discrimination Bayesian discriminant multivariate statistical analysis , for the body to follow a normal distribution , and training samples , the output is a row vector indicat
Two-dimensional-random-number
- 学习采用Matlab程序产生正态分布的二维随机数 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-Learning using Matlab program to generate two-dimensional normal distribution random number estimated class mean vector and covariance matrix method class scatter matrix calculation metho
ijicic-10-07033
- Another advantage is that geometric properties of the curve are easily determined from a particular level set of the surface . For example, the normal vector for any point on the curve C is given by:
00661186
- Another advantage is that geometric properties of the curve are easily determined from a particular level set of the surface . For example, the normal vector for any point on the curve C is given by:
senseless_sector
- 基于无传感器的矢量控制的matlab的程序框图，经试验，可以正常运转-Based sensorless vector control matlab block diagram, the test can be normal operation
R_DeltaZ
- 三角形外接圆半径与三角形三顶点在Z轴的变动之间的关系对三角形平面法向量的影响。-The radius of the circumcircle of the triangle of three vertices of the triangle between the impact of changes in the Z-axis of the normal vector of the plane triangular relationship.
fitNormal
- This scr ipt tests that the normal vector for the best fit plane can be properly calculated by the fitNormal function
fitPlane
- This file fits a 3D plane to a set of 3D points. The plane is described by a point and a normal vector.
denghuchang_points
- 此程序利用二维曲线上等弧长编写程序，然后推广到曲面上布局分布点坐标，并求出这些点的法矢，最终把图形显示出来-This program uses a two-dimensional curve of the upper arc length of the preparation process, and then extended to the layout of the surface layout point coordinates, and the normal vector of thes
TriangleArea
- 计算三点面积 及3点围成面的法向向量，对于空间网格结构开发，施加荷载时比较方便(Calculate the area of three points and the normal vector of 3 points)
point_cloud
- 用经典的pca k邻域方法估计点云法向量的程序，带有matlab gui，使用matlab 2016b编译运行成功，输入点云最好为列向量的txt文件，gui中内置了点云显示模块以及生成的点云法向量显示，并且可以输出法向量到txt文件中。(The program of estimating point cloud vector with the classical PCA K neighborhood method, with Matlab GUI, uses MATLAB 2016b to co
用主成分分析法估计出点云中每点的法向量函数
- 用主成分分析法估计出点云中每点的法向量函数，实现平台为matlab(Principal component analysis is used to estimate the normal vector function of every point in point cloud, and the platform is matlab.)