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材料科学中退火算法的最新模拟方法，大家看看拉。(Materials Science in the latest simulation annealing algorithm, we look at Latin America.)

学习matlab 小波工具箱的好资料 大家共同进步(Study of the matlab wavelet toolbox common good information on the progress of U.S.)

Solving Travel Salesman Problem using Hill Climbing algorithm >> using 30 cities.

Fundamentals of Electromagnetic with Matlab very good book for EM via MATLAB for Electrical Engineering

用来实验验证c转换为汇编的效率，本代码为一个简单的小延时，通过不同德c代码，转换成汇编，看他们的大小，和执行效率(C is used to convert the experimental verification of the efficiency of assembly, the code for a simple little delay, through different de c code into assembly, to see their size, and efficiency)

语音信号的采集与处理，数字信号处理课设，MIT人工智能实验室的目标识别的源码,完整的图像处理课设，包含所有源代码，汽车图像。( Acquisition and Processing of the speech signal, digital signal processing class-based, MIT Artificial Intelligence Laboratory identification of the target source, Complete class-based image processing, contains all of the source code, auto image.)

matlab环境下关于数字信号处理的一些程序，主要是利用小波变换的去噪程序(matlab environment about a number of digital signal processing procedures, mainly the use of wavelet transform de-noising procedures)

说明：  画出函数的ROC曲线，precision/recall 曲线(function [prec, tpr, fpr, thresh] = prec_rec(score, target, varargin) PREC_REC- Compute and plot precision/recall and ROC curves.)

脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m：测试代码 ScriptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 (Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification)

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)