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string
- 求字符串编辑距离 动态规划 设给定样本 ，样本P在文本T中的K-近似匹配（K-approximate match）是指P在T中包含最多K个差异的匹配，求K-For the string edit distance to the set of dynamic programming based sample, the sample P in the text T in the K-approximate match (K-approximate match) refers to P in T co
65520760high-resolution-one-dimension
- 目标运动对高分辨率一维距离像的影响研究的matlab程序-Target Motion on the high-resolution range profile of the impact studies program matlab
GSNNSimulation
- 本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。-This article SLAM algorithm for data association process, a simple method to Euclid
IDASimulation
- 本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同-In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using t
linchaowork
- 测量目标的距离是雷达的基本任务之一。无线电波在均匀介质中以固定的速度直线传播（在自由空间传播速度约等于光速 km/s）。图2-1雷达位于-Measuring the distance between the target is one of the fundamental tasks of radar. Radio waves in inhomogeneous media in a straight line to a fixed rate of propagation (the propaga
high-precision-chaoshengbo
- 基于51单片机的高精度超声波距离测量系统，希望与大家共同分享-Based on 51 single-chip high-accuracy ultrasonic distance measurement system, I hope to share with everyone
Distance
- 最小距离法进行模式识别的一类经典程序设计算法-Minimum distance method for a class of pattern recognition algorithm for classical programming
ImageTransformation
- 图像平移算法实现，可以完成图像指定距离的图像平移。-Image transformation algorithm
69491719BayesClassier(1)
- 实现模式识别，实现最小欧式距离分类器的实现与形成-Achieve pattern recognition, achieve the minimum Euclidean distance classifier and the formation of implementation
RD
- 在雷达成像中运用最基本的距离多普勒算法实现雷达成像-At the most basic use of radar imagery from the Doppler radar imaging algorithm implementation
StringMatch
- VC 实现的小程序，完成最小编辑距离计算，简单易读易懂-VC string match
DistCalFromLB
- 根据地球上两点经纬度（以度分秒为单位），计算其间距离（以米为单位）。-calculate the distance between two points with latitude and longitude.
k_means
- k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, throu
My2
- 实现点到面的距离，输入点的坐标即可算出到指定平面的距离-The realization of the distance-to-face, enter the coordinates of points can be calculated to the specified distance from the plane
MyRouter
- 基于距离矢量算法的路由器模拟实验，并包含软件设计文档-Algorithm based on distance vector router simulation experiments, and includes software design document
med
- 最小编辑距离，可以计算2个字符串的相似度，用于语音文档检索-Minimum edit distance between two strings can calculate the similarity for retrieval of voice files
DistanceTransform
- 对给定的图像做距离变换，用于图像中目标定位-do distance transform for an image
ImageCaptureANDDriver
- 通过CCD拍摄工作台图片，然后经过图像处理，提取图像矩特征，然后通过相关算法，求出工作台移动的距离-CCD image taken through the table, and then through image processing, extraction of the characteristics of image moments, and then through the relevant algorithms, to derive the distance between mobil
distance_classify
- function g=distance_classify(A,b) 距离判别法程序。 输入已分类样本A（元胞数组），输入待分类样本b 输出待分类样本b的类别g 注：一般还应计算回代误差yita 输入已知分类样本的总类别数n 每类作为元胞数组的一列-function g = distance_classify (A, b) from the Criterion procedures. Input samples have been classified A
hrrf2scatterIn2D
- 基于多姿态一维距离像(HRRP)的二维散射中心重构matlab仿真算法-Reconstruction of 2D scattering center