radar-camera-calibration

D:matlab mmeigen.rar特征值(D : Matlab nmm eigen.rar eigenvalue)

统计分析的软件包，已经是目前最新版本的了。包括说明，都在压缩包里了。(statistical analysis package, is the latest version of the. Including a description, in a compressed bundle.)

给出接收信号眼图及系统仿真误码率，实现了对10个数字音的识别，信号维数的估计，本科毕设要求参见标准测试模型，插值与拟合，解方程，数据分析，是小学期课程设计的题目，车牌识别定位程序的部分功能，考虑雨衰 阴影 和多径影响。 ( The received signal is given eye and BER simulation systems, To achieve the recognition of 10 digital sound, Signal dimension estimates, Undergraduate complete set requirements refer to the standard test models, Interpolation and fitting, solution of equations, data analysis, Is the topic of the elementary school stage curriculum design, Part of the license plate recognition locator feature, Consider shadow rain attenuation and multipath effect. )

说明：  MATLAB课件 给那些电子信息工程的学生看看 很好的软件 (MATLAB Electronic and Information Engineering courseware to students who look very good software)

画出下述情况下均匀线阵方向图 1）计算来波方向为0度方向图 2）画出来波方向为45度时的方向图 3）画出来波方向为0度，幅度取分贝数：20log***（单位为dB）时的方向图 4）画出来波方向为0度，随着阵元数的增加，当N=16，N=32时的方向图，并对方向图的变化情况进行说明(Draw the following conditions uniform linear array 1) calculation of wave direction is 0 degrees direction diagram 2) draw out the wave direction is 45 degrees direction map 3) draw out the wave direction is 0 degrees, and amplitude decibels: 20log*** (unit dB) when the direction of FIG. 4) draw out the wave direction is 0 degrees, with the increase of the number of array elements, when N=16, N=32 pattern, and the change of direction is described )

图像高斯金字塔，生成高斯金字塔，依次进行图像下采样( Image gaussian pyramid,To generate the gaussian pyramid, under the image sampling in turn )

电力系统分析王锡凡编辑的书，对于写电力系统相关的程序很有帮助。(Power system analysis PROCEEDINGS edited book, write a program useful for power system related.)

TVAC-PSO.m code using Matlab

说明：  克里格法（Kriging，KRG）是由法国统计学家 Matheron 于 1963 年提出的，为纪念南非金矿工程师 Krige（Krige, 1951）曾于 1951 年使用回归方法对空间场进行预测的开创性研究，Matheron 将该方法命名为 Kriging，最开始该方法常被用于对矿产储量分布情况进行预（Matheron, 1963）。目前该方法作为最常用的空间插值算法，被广泛应用于地理科学、环境科学、大气科学等研究中。(Kriging (KRG) method was proposed by Matheron, a French statistician, in 1963. In order to commemorate the pioneering research of Krige (1951), a gold mine Engineer in South Africa, who used regression method to predict the spatial field in 1951, Matheron named this method Kriging. At first, this method was often used to predict the distribution of mineral reserves (Matheron, 1963) . At present, as the most commonly used spatial interpolation algorithm, this method is widely used in geographical science, environmental science, atmospheric science and other research.)

overlapped image segmentation the code can also be found at matlabcentral