搜索资源列表
DMC
- Minimal distance to centroid
Localization
- 经典的无线传感网络（WSN）节点定位算法的matlab代码，算法包括: RSSI, Centroid, APIT, DV-hop, Amorphous, Bounding Box, Grid Scan, MDS-MAP-Classic wireless sensor networks (WSN) localization algorithm matlab code, algorithms include: RSSI, Centroid, APIT, DV-hop, Amorphous, Boun
zhixinsuanfa2
- 在图像处理中，能够利用本程序进行图形的质心与加权质心的简单求取，最后得到准确的坐标-In image processing, you can take advantage of this program is simple strike pattern centroid weighted centroid, and finally get accurate coordinates
Smooth
- 平均法、重心法、最小二乘法、S-K法，对谱数据进行滤波平滑-Average method, centroid method, least square method, SK method of spectral data smoothing filter
bounding_box_and_centroid_algo
- Bounding Box and centroid algorithm with accuracy
1
- 通过查找不规则图形的轮廓，计算图形的质心， 会很方便 -By looking for contours of irregular graphics, calculate the centroid of graphics, Will be very convenient
Shape-Recognation
- Objective - The program should recognize objects like circles, rectangles, and squares the input image. Introduction This is a shapes classifier based on the properties of each shape, like roundness, ratio of dimensions, centroid,?et
kMeans
- 实现聚类，预测数据，在教育行业十分有帮助(The basic idea of KMeans algorithm is that the initial random given K cluster centers, according to the nearest neighbor principle, the sample points are divided into different clusters. Then, the centroid of each cluster is comp
computing fluid of dynamics
- 二维流动，计算直匀流情况下，存在一个形心在流场正中的正方形时，流场的变化以及绘制出流线(Two dimensional flow. In the case of direct uniform flow, a centroid exists in the square of the middle of the flow field. The flow field changes and the streamlines are plotted)
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
mpc_r84
- 机器人模型预测控制, 机器人质心轨迹规划(Robot model predictive control, robot centroid trajectory planning)
MM
- this function is estimate doppler centroid in synthetic aperture radar with ACCC.The basic SAR theory is conceptually simple yet when one looks into the inner workings of the SAR processor it appears quite complicated(The most difficult part of the
新建文件夹
- 将一副彩色图像转为灰度图像，截取部分，并找到质心位置(Centroid calculation of gray image)
图像的分析
- 可显示图像中指定点的坐标值、像素值、图像强度曲线、图像像素强度曲线、等值线、均值、标准差、协方差系数、质心、边界等。(It can display coordinate values, pixel values, image intensity curves, pixel intensity curves, contour lines, mean value, standard deviation, covariance coefficient, centroid, boundary and s
statistics_kmeans
- K-means算法是一种硬聚类算法，根据数据到聚类中心的某种距离来作为判别该数据所属类别。K-means算法以距离作为相似度测度。(kmeans uses the k-means++ algorithm for centroid initialization and squared Euclidean distance by default. It is good practice to search for lower, local minima by setting the 'Replica
fwd
- centoid that used for centering the points of the object
twodegreeoffreedom
- simulink框图，两自由度的汽车操纵动力学模型，输入轮胎转角，输出质心偏侧角和横摆角速度(Simulink block diagram, two degree of freedom vehicle handling dynamics model, input tire angle, output centroid side angle and yaw rate.)
普通的质心算法
- 这是一种质心算法，通过编程实现算法，可用(Centroid algorithm,This is a centroid algorithm that is implemented by programming and is available.)
Side slip angle estimation
- 用于车辆的实时质心侧偏角估计，对车辆行驶稳定性控制有潜在意义(It can be used to estimate the real-time sideslip angle of vehicle centroid, which has potential significance for vehicle driving stability control)