face-recognition-SVD-HMM

二维固-液有限差分仿真程序，模拟板中lamb波的传播特性(Two-dimensional solid- liquid finite difference simulation program to simulate the plate lamb wave propagation characteristics)

黄金分割法求最小值，验证通过。可以在指定区间内，求得最小值(Golden section method for the minimum, verified by. Be within the specified range, the minimum value is obtained)

可以实现盲均衡算法MCMA+DD，效果较好(Blind equalization algorithm can achieve MCMA+DD, better)

基于小波变换和离散余弦变换的图像分级检索算法(Image classification retri algorithm based on wavelet transform and discrete cosine transform)

常规DOA谱估计music算法在多径环境下失效，SVD算法利用最大特征值对应的特征矢量重新构造奇异值矩阵，可以成功估计相干信号。(Conventional music spectrum estimation algorithm for DOA in multipath environment, failure, SVD algorithm using the maximum eigenvalue of the feature vector corresponding to re-construct singular value matrix, can be successfully estimated coherent signal.)

第3章 离散系统结构 109 3.1 离散系统结构的基本原理 109 3.1.1 离散系统结构的分类 109 3.1.2 离散系统结构的基本组成 109 3.2 IIR系统结构及MATLAB实现 110 3.2.1 直接I型 111 3.2.2 直接II型 111 3.2.3 级联型 113 3.2.4 并联型 118 3.3 FIR系统结构及MATLAB实现 122 3.3.1 直接型 123 3.3.2 级联型 123 3.3.3 线性相位型 124 3.3.4 频率取样型 126 3.4 Lattice结构及MATLAB实现 131 3.4.1 全零点FIR系统的Lattice结构 131 3.4.2 全极点FIR系统的Lattice结构 136 3.4.3 零极点ARMA系统的Lattice结构 140(Chapter 3 Structure of Discrete Systems 109 3.1 The structure of the basic principles of discrete systems 109 3.1.1 Classification of 109 Discrete System 3.1.2 The basic system structure composed of discrete 109 3.2 IIR system structure and MATLAB Implementation 110 3.2.1 Direct I-111 3.2.2 Direct Type II 111 113 3.2.3 Cascaded 3.2.4 Parallel 118 3.3 FIR system structure and MATLAB Implementation 122 3.3.1 Direct Model 123 123 3.3.2 Cascaded 3.3.3 Linear Phase Model 124 3.3.4 Type 126 frequency sampling 3.4 Lattice structure and MATLAB Implementation 131 3.4.1 System-wide zero FIR Lattice Structure 131 3.4.2 Lattice all-pole structure 136 FIR system 3.4.3 zero-pole structure 140 Lattice ARMA system)

说明：  OR规则下载，可以根据自己的想法添加元素(OR download the rules, you can add elements according to their own ideas)

Half wave rectifier simulation for beginner

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)

steps - 1. run DigitRecognizer.m 2. mode to run a. Test Mode input pad will open with axes having a red dot. left-click mouse and drag(dont unclick) mouse to draw a numeric digit. if you unclick mouse it won t draw anything. if you want to continue drawing, click again on any red place on axes and start dragging. once done, click submit. it will give you result. b. Training Mode input pad will open with axes having a red dot. draw a number and click submit. when promted, enter the value you drawn. if you wish to continue training, click YES and repeat. if you click No, a feedforward neural network will be trained and saved, you can test it.