mnist_dataset

这是matla论文,用来计算RBF输出值很有效(This is matla paper, the output value used to calculate the RBF is very effective)

张正友的Easycalib的程序没有提供源代码，这是matlab实现代码，大家试试！(Easycalib Friends of the procedures did not provide the source code, which is to achieve Matlab code, we try!)

problem 5.19 rappaport

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction

please check the doc which will help you to setup/install matlab on ubuntu14.04

说明：  克里金模型的MATLAB工具箱，克里金模型是比较流行的空间插值算法(MATLAB Toolbox for Kriging Model)

线性调频信号（FLM）脉冲压缩的参考函数的三种的实现方式(Implementation of the chirp signal (FLM) three of the reference pulse compression function)

常用信道的实现原程序代码,可以用于通信系统性能的评估.(Original Program of the common channel)

机器人控制系统的设计及其matlab仿真第7章“机器人滑膜控制”源代码(Source code of the the the design of of the robot control system and its matlab simulation Chapter 7, " robot synovial control" )

近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力 (Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time series analysis method, the physical meaning of entropy value is larger, the lower the self-similarity of the time series, the more complex the sequence, whereas sequence of self-similarity the higher and the sample entropy weak dependence for the length of the sequence, only shorter data can be healthy entropy value, calculated without data coarse-grained, with good anti-jamming capability)