AR

 利用fft()进行快速傅立叶变换，得到频谱，画出正弦函数及其频谱  找出频谱中使得Y轴取最大值时的估计频率记为ft  加入白噪声，绘出信噪比和均方误差的关系曲线 ( using fft () for fast Fourier transformation, spectrum, to draw the sine function and its spectrum  find the spectrum makes the Y-axis maximum value when the estimated frequency is denoted by ft  adding white noise, SNR plot and mean square error curve)

利用matlab 的系统函数绘制连续系统的零极点图。(draw the pzmap of continuous system)

PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book. Laboratory Projects_DIP3E 的02-02項目(PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book.)

这是一本英文版的书籍，主要讲述模型预测控制，对初学者的学习很有帮助。(This is a book of English version about model predictive control, that is very helpful for beginners learning.)

Most recent approaches have posed texture synthesis in a statistical setting as a problem of sampling from a probability distribution. Zhu et. al. [12] model texture as a Markov Random Field and use Gibbs sampling for synthesis. Unfortunately, Gibbs sampling is notoriously slow and in fact it is not possible to assess when it has converged. Heeger and Bergen [6] try to coerce a random noise image.

Solves the system of equations Ax = b = LRx

本书以最新版的MATLAB6为依据，详细介绍了MATLAB的基础知识及其在图形绘制和图像处理方面的应用(The book is based on the latest version of MATLAB6, details the basics of MATLAB and its graphics rendering and image processing applications)

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

空气隙标准具干涉环的matlab画法！来自萝卜驿站！(plot the pattern of the etaon ring!)

基于蒙特卡洛算法，前推回代方法实现配电网最优规划(Optimal planning of distribution network based on Monte Carlo algorithm and forward backward substitution method)