DrudeModel

说明：  包含matlab图形图像处理这本书中的所有源码程序(Contains graphic image processing matlab book all the source program)

基于 MATLAB的点云 三角化重建(Based on the MATLAB the point cloud triangle reconstruction )

Kalman滤波理论详细介绍，包括卡尔曼的各种扩展滤波方法都有详细的说明，适合初学者普及知识与相关知识框架的架构。同时还介绍了其在飞机导航中的应用(Kalman filtering theory in detail, including the extended Kalman filtering methods have a variety of detailed instructions for beginners popularize knowledge and knowledge framework architecture. It also presents its application in aircraft navigation)

马克维茨有效前沿的matlab实现。完整实例，含有前期数据处理的代码。含有画图和投资组合求解的代码。注释丰富，适合新手入门学习。作者软件版本matlab 2010a(An example of application of Markoviz efficient frontier in matlab.Containing code of data wrangling,and abundant explanatory note.starter-friendly.)

this code solve poisson schridinger for GaAs

本实验隶属现代数字信号处理，涉及到谱估计和谱分解，对学习数字信号的现代处理方法帮组很大。系统辨识实验实现：输入为功率为1（方差为1）的白噪声信号，通过一个线性移不变（LSI）系统，采用功率谱分析方法实现系统辨识对一个LSI系统进行辨识,并比较最后辨识出的系统与原系统的差别，分别显示出来。 (Experimental realization of system identification: input power of 1 (variance 1) of the white noise signal through a linear shift invariant (LSI) system, using power spectral analysis method of system identification of an LSI system identification, and compare the final system and identify the difference between the original system, respectively, is displayed.)

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

this is a simple2-opt code

emd code with detail commnet

in this project we use the neural network to segment textured image using a multilayer perceptron.