fisher1

说明：  通信信号处理中的HDB3 matalb 仿真一例(Communications signal processing simulation of one case of HDB3 matalb)

本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法，它的思想是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。最后基于MATLAB实现了对图像信息的聚类。( This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm based on division and the idea is to make it to the same cluster is divided into the biggest similarity between the objects, while the minimum similarity between different clusters. Finally, I realize the implementation of image information of the cluster based on MATLAB.)

宽度学习是最近比较热的分类器，可用于图像分类等应用(image classification Broad learning)

说明：  是一个dcdc反激式开关电源设计运用matlab的simulink模块，有具体的波形和数据设置(Flyback switching power supply)

潮流计算在电力无功优化中的应用,基于MATLAB环境的编程，有详细说明和源代码。(In the power flow calculation of reactive power optimization, based on the MATLAB programming environment, there is a detailed description and source code.)

例1 验证方程组初值问题的解 例2 求一个二阶非齐次线性方程组的初值问题的三次近似解 例3 用逐次逼近法求方程组初值问题的解(Cases of a verification of equations initial value problem is solved two cases of seeking a second-order non-homogeneous linear equations of the approximate solution of initial value problem of the three cases of three successive approximation method with the initial value problem of seeking the solution of equations)

说明：  matlab 下神经网路的经典应用，非常直白，浅显易懂，值得下载(Matlab Neural Network classic application, very straightforward, simple to understand, it s worth downloading)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

iris data file for using in matlab

冈萨雷斯数字图像处理，北京大学的课程课件。(Gonzalez Digital Image Processing, Peking University courseware.)