Search - plane points

Search - plane points - List

[matlab] svcm_run DL : 0: support vector classification machine ％ soft margin ％ uses "kernel.m" ％％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1-support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1
Date : 2025-12-29 Size : 1kb User : wang
[matlab] 3-DStemPlotofanFFT DL : 0: Example - 3-D Stem Plot of an FFTFor example, fast Fourier transforms are calculated at points around the unit circle on the complex plane. So, it is interesting to visualize the plot around the unit circle. Calculating the unit circle.-Example- 3-D Stem Plot of an FFTFor example, fast Fourier transforms are calculated at points around the unit circle on the complex plane. So, it is interesting to visualize the plot around the unit circle. Calculating the unit circle.
Date : 2025-12-29 Size : 1kb User : 薛良
[matlab] theCurvesandSurfacesFitting DL : 0: 连续曲线近似地刻画或比拟平面上离散点组所表示的坐标之间的函数关系的一种数据处理方法。用解析表达式逼近离散数据的一种方法-Continuous curve approximation to characterize or compare groups of discrete points on the plane expressed by a function of the relationship between the coordinates of a data processing method. Approximation using the analytical expression of a method of discrete data
Date : 2025-12-29 Size : 34kb User : xie
[matlab] b DL : 0: 定义一个描述X，Y坐标系中点的结构体，并编写判断平面中任意给定的三个点是否在同一直线上的程序。-A description of the definition of X, Y coordinates of the midpoint of structure, and to prepare to judge any given plane is the three points along the same line of procedure.
Date : 2025-12-29 Size : 14kb User : 王立
[matlab] juxing DL : 0: 平面应力矩形单元有限元分析，并画出网格图形，用星号标记受力点，用叉号标记受约束点，最后求出力、位移和主应力。-Rectangular plane stress finite element analysis, and draw the grid graph, marked with an asterisk stress points marked with crosses by constraints, and finally seek to contribute, displacement and principal stress.
Date : 2025-12-29 Size : 3kb User : caishouyu
[matlab] laserMatlab DL : 0: 用基于 Matlab 的小容量 FFT (比如 256×256)程序，将取样窗口划分为若干个全等的小矩形,对每个小矩形内离散点的复振幅作 FFT 变换,然后将所有变换结果叠加，再乘以复数相位因子,相当于对整个物面上点进行菲涅耳衍射计算，利用这种方法可以迅速的实现高精度的轴对称傍轴光学系统中的激光衍射计算-With a small volume based on Matlab FFT (eg 256 × 256) procedure to sample window divided into a number of small identical rectangles, each small rectangle of discrete points within the complex amplitude for the FFT transform, and then transform the results of all the superposition multiplied by the complex phase factor, the equivalent point on the object plane Fresnel diffraction calculation, the use of this method can rapidly achieve high-precision optical system axis of symmetry in the paraxial calculation of laser diffraction
Date : 2025-12-29 Size : 504kb User : w
[matlab] MinBounDrect DL : 0: 最小外接矩形，根据面积和周长判断。实现图象处理的工程计算。- Compute the minimal bounding rectangle of points in the plane usage: [rectx,recty,area,perimeter] = minboundrect(x,y,metric) arguments: (input) x,y- vectors of points, describing points in the plane as (x,y) pairs. x and y must be the same lengths. metric- (OPTIONAL)- single letter character flag which denotes the use of minimal area or perimeter as the metric to be minimized. metric may be either a or p , capitalization is ignored. Any other contraction of area or perimeter is also accepted. DEFAULT: a ( area )
Date : 2025-12-29 Size : 17kb User : rainbow
[matlab] directivity_UCA DL : 0: 均匀平面阵方向图，m*n元，波束指向phi=0°，theta=90°-Uniform plane array pattern, m* n element, the beam points to phi = 0 °, theta = 90 °
Date : 2025-12-29 Size : 1kb User : 王超
[matlab] voronoi_mountains DL : 0: VORONOI_MOUNTAINS is a MATLAB program which makes a 3D surface plot of a Voronoi diagram. The Voronoi diagram divides up points in the plane by associating each point with the closest of a set of generator points.
Date : 2025-12-29 Size : 2kb User : KORHAN KARAARSLAN
[matlab] GraphCutting DL : 0: matlabGUI编程，实现平面图像的水平分割，显示原图像，分割后矩形图像及分割后矩形四个角点的坐标值-matlabGUI programming, horizontal split plane of the image, display the original image, the rectangular coordinates of the four corner points of the rectangular image after segmentation and segmentation
Date : 2025-12-29 Size : 70kb User : qinchangbiao
[matlab] Poisson-Point-Process-in-FDM DL : 1: PPP is used in frequency division duplex to solve Interference Issue. a Poisson point process is a particular kind of random process by which a set of isolated points are scattered about a line or a plane or a three-dimensional space or any of various other sorts of spaces. Often the term Poisson process is used to mean a Poisson point process in which the space in which isolated points are randomly scattered is a line, which in many applications represents time.
Date : 2025-12-29 Size : 2kb User : Manzar Hussain
[matlab] matlab DL : 0: 基于meanshift的单目标跟踪算法实现说明： 1. RGB颜色空间刨分，采用16*16*16的直方图 2. 目标模型和候选模型的概率密度计算公式参照上文-Meanshift based single target tracking algorithm Description: 1. RGB color space plane points, using a histogram 2. Probability density target model and the candidate model 16* 16* 16 with reference to the above formula
Date : 2025-12-29 Size : 1.5mb User : 叶影
[matlab] fitPlane DL : 0: This file fits a 3D plane to a set of 3D points. The plane is described by a point and a normal vector.
Date : 2025-12-29 Size : 1kb User : Truc Le
[matlab] Matlab DL : 0: 为了提高四足机器人在复杂环境下的适应性,重点研究了采用飞行时间(TOF)原理相机的四足机器人环境感知策略并改进了地形识别及路径规划算法.首先采用高斯过程回归(GPR)模型对TOF相机的距离数据进行误差校正,解决了采用传统多项式或三角函数模型进行误差修正时模型阶次过高及函数组合复杂的问题.基于得到的环境深度信息,采用数字高程模型(DEM)进行地形描述,并通过计算各栅格的坡度、粗糙度、起伏度对地形进行识别.粗糙度由该栅格所处的坡度平面与其8邻域高程点的离散程度进行计算,避免了采用高程方差计算时对粗糙度的误检测.依靠地形信息,提出了滑动窗+增量式A*(IA*)算法的路径规划方法. IA*算法通过寻找当前路径与目标投影点的最优路径进行增量式路径规划,该方法解决了采用A*算法进行重规划时效率低的问题.仿真和实验结果验证了本文方法的有效性和可靠性(文章被EI期刊收录) -In order to improve the adaptability of the quadruped robot in complex environments, the environment percep- tion strategy based on time of flight (TOF) camera is investigated, and the terrain recognition and path planning algorithms are improved. Firstly, the Gaussian process regression (GPR) model is used to calibrate the range error of the TOF camera, and with this model, the high-order computation and complex function composition caused by polynomial or trigonometric function models are avoided. Based on the depth information of the environment, the terrain is represented with the digi- tal elevation model (DEM) and recognized by the slope, roughness and step height of the grid. The roughness is obtained through the dispersion between the slope plane in which the grid locates and its 8-neighbor height points, which avoids the detection error when using the variance of the terrain height. Based on the terrain information, a path planning algorithm using sliding window and in
Date : 2025-12-29 Size : 1.21mb User : 王辉
[matlab] findPointNormals DL : 0: 基于kd-tree搜索算法，利用局部邻域的平面拟合，检测三维点云数据的法线方向- Estimates the normals of a sparse set of n 3d points by using a set of the closest neighbours to approximate a plane.
Date : 2025-12-29 Size : 3kb User : 张芳
[matlab] 20090322 DL : 0: 一、算法伪码： 1、初始化： 1.1每一个空间的点映射到二维窗格，每个空间的点分配唯一的二维窗格坐标。一个窗格只能有一个点。 1.2为每一只蚂蚁在二维窗格分配唯一的地址（第一步需要注意的是：空间上点的位置和平面窗格上点的位置完全是两回事，空间上两个点的位置来计算两点之间的距离；而平面上点的位置，主要是用来确定半径为S的区域内的点，计算两个点的空间距离，进而计算群体相似度，最后通过群体相似度来计算拾起或者放下的概率） 2、迭代tmax次 3、所有的蚂蚁运动一次 4、产生一个0-1之间的随机数R 5、如果当前蚂蚁处于未负载状态，而且当前蚂蚁所在处的有点Oi 5.1、计算群体相似度f(Oi)和拾起概率Pp(Oi) 5.2、如果拾起概率Pp(Oi)》R 5.2.1、当前蚂蚁拾起点Oi（注意Oi在窗格中的位置是不断变动的） 5.3 5.2结束 6、如果条件5不成立，如果当前蚂蚁处于负载状态，持有点Oi，而且当前位置没有其他点 6.1计算群体相似度f(Oi)和放下概率Pd(Oi) 6.2如果放下概率Pd(Oi)》R 6.2.1放下节点Oi（注意点Oi在窗格中的位置是不断变动的） 6.3 6.2结束 7、5结束 8、当前蚂蚁移到邻近区域内的没有被其他蚂蚁占据的节点 9、所有的蚂蚁运动一次结束 10、迭代tmax次结束 -First, the algorithm pseudocode: 1. Initialization: 1.1 point each to the two-dimensional space mapping pane, the point of each space is assigned a unique two-dimensional coordinates of the pane. A pane of only one point. 1.2 for each ant is assigned a unique address in the two-dimensional pane (the first step should be noted: the location and position of plane points pane space is completely different points, two points on the spatial position is calculated distance between two points and the position of the point on the plane is mainly used to determine the radius of the dot area S within the space of two points to calculate the distance, and then calculate the similarity group, and finally through group similarity calculating pickup probability plays or put down) 2, iterative tmax 3 times, once all the ants motion 4, R 5 a generates a random number between 0 and 1, if the current state of the ant is unloaded, and the current location at the little ant Oi 5.1 calculating the similar
Date : 2025-12-29 Size : 326kb User : chensumin
[matlab] UnitSquare DL : 0: a unit square method is a square whose sides have length 1. Often, the unit square refers specifically to the square in the Cartesian plane with corners at the four points (0, 0), (1, 0), (0, 1), and (1, 1).-a unit square method is a square whose sides have length 1. Often, the unit square refers specifically to the square in the Cartesian plane with corners at the four points (0, 0), (1, 0), (0, 1), and (1, 1).
Date : 2025-12-29 Size : 1kb User : MargeDeAlba
[matlab] 矩形板(8-1)位移 DL : 1: 平面8节点单元类，可以输出单元的刚度，并可通过形函数插值得到内部各点得位移、应力等。对各位以前编写的程序的一个补充和完善吧。(plane eight-unit category, the output unit stiffness, through the shape function can be interpolation points in the internal displacement and stress. Right before you and the procedure for the preparation of a supplement and perfect it.)
Date : 2025-12-29 Size : 9kb User : lear
[matlab] sidra DL : 0: salut Diagramme bifurcation One way that I know is to obtain a Poincare section of the flow on an appropriate plane. This can be done by solving the system of differential equations numerically, and obtaining points in the solution that intersect the Poincare plane. This can be done approximately in Matlab, because the numerical solution is of variable time-step, and we cannot get the exact point of intersection... But, perhaps, that is how numerical methods are!
Date : 2025-12-29 Size : 3.53mb User : Sidra