Gordon-paper-program

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)

此文件包包含了dijkstra/dynamic.弗洛伊德、克丽丝卡尔、random-generate.binary-search/等算法，是MATLAB路径问题的重要解决方法(This package contains the dijkstra/dynamic. Freud, Kris Carr, random-generate.binary-search/algorithms, MATLAB path problem is an important solution)

compressive sensing theory

Revista ucontrol Electronica

EXAMPLE OF ADAPTIVE FUZZY CONTROLLER

BPSK调制和解调，matlab环境下仿真实现(BPSK modulation)

说明：  其主要内容包括：MATLAB 入门及基本操作，数 组、矩阵的使用及数据可视化方法，脚步文件及函数的编写，以及仿 真、图形用户界面入门等。(Its main contents include: MATLAB Introduction and basic operation, array, matrix use and data visualization methods, the pace of preparation of documents and functions, as well as simulation, graphical user interface, such as entry.)

三次样条插值函数：自己编写的三次样条插值函数(cubic spline interpolation)

利用MATLAB实现图像拼接，所谓图像拼接就是将有共同点的两张或者多张图像进行融合。(Use MATLAB to achieve image mosaic, image mosaic is the so-called common ground will be two or more fused images.)