exp1_matlab_manual

FCM算法是一种基于划分的聚类算法，它的思想就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。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分(FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest similarity between the object, and the similarity between different cluster minimum. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for the data are divided into hard and fast, and FCM is a soft fuzzy partition)

用MATLAB实现SAPSO、SecPSO、SecVibratPSO算法，程序没错误，可以直接运行，非常适合刚学PSO者(Implementation of SAPSO, SecPSO, SecVibratPSO algorithm with MATLAB, the program no error, can be directly run, very suitable for just learning PSO )

用于人脸识别的NMF分解程序，用MATLAB编写的(face recognition for the NMF decomposition process, the preparation of MATLAB)

现代通信系统（matlab版）（第二版）配套源代码 John G. Proakis等著 刘树棠 译 电子工业出版社出版(modern communication system (Matlab version) (2nd Edition) source code supporting John G. Proak Liushutang is waiting for the translation of the electronics industry published)

基于矩阵位移法的matlab编程，求刚架的内力和位移(Matlab programming based on the matrix displacement method, find the force and displacement of the rigid frame)

Numerical Methods of Exploration Seismology crewes小组的matlab层析成像说明文档(Numerical Methods of Exploration Seismology crewes team matlab tomography documentation)

matlab的数学建模方法，包含了许多重要的数学建模方法的matlab实现，非常实用(matlab mathematical modeling methods, including a number of important methods of mathematical modeling matlab implementation, very useful)

该文件中全面包含了冈萨雷斯数字图像处理一书中的全部源码，读者可以通过该文件对图像处理做更好的学习。(The document contains a comprehensive digital image processing Gonzalez all the source code book, the reader can do the document image processing and better learning.)

legendshrink reduces the amount of horizontal space taken up by a figure legend by reducing the length of lines. (Best results when the legend box is off.) This is important for small plots because the size of the lines is constant irrespective of the physical size of the figure. Only works for vertical legends, for now.

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用周期图法和 ARMA谱估计法(SVD-TLS)估计此信号的功率 谱，并分析比较其结果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try periodogram and ARMA spectral estimation method (SVD-TLS) estimate the power spectrum of this signal, and the analysis and comparison of the results)