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基于PN序列的同步仿真链路（simulink+m files），收端算法为接受序列与本地序列求滑动相关。(PN sequence based on the synchronous Link Simulation (Simulink m files), Algorithm-admission to accept the sequence with the local demand sliding related sequences.)

人脸识别，包含人脸库，gui界面程序，识别程序(Face recognition, including face , gui interface program, recognition programs)

说明：  1.选择主函数main运行。main有三个输出参数：最优染色体最早出现代数；最佳适应度；最优染色体编码 2.算例.txt文件提供了三个不同规模的JSP问题，将数据粘贴到main函数的对应位置，保存即可运行 3.time函数可以多次运行main主函数，对结果作简单统计(1. Select the main function to run. Main has three output parameters: the first generation algebra of the optimal chromosome; the optimal fitness; the optimal chromosome coding 2. The example. TXT file provides three JSP problems of different sizes. Paste the data to the corresponding location of the main function, and save it to run 3. The time function can run the main function multiple times to make simple statistics on the results)

内含用神经网络进行信号处理的两个实例，采用MATLAB编写。(Intron with neural network signal processing of two examples of using MATLAB to prepare.)

svm 支持向量机代码 support vector machine(support vector machine svm)

matlab的一些接口程序！希望对学习matlab的同仁们有所帮助~(some matlab interface program! Want to learn matlab help colleagues ~)

本书详细介绍matlab的基本用法，对于初学者比较有用，简单易懂(Matlab book details the basic usage, more useful for beginners, easy-to-read)

图象轮廓提取 比较简单 是本人在MATLAB环境下编译的(image contour extraction is relatively simple I MATLAB environment in the compiler)

用matlab编写的太阳能集热发电太阳能厂一维模型(One dimensional model of the solor collector.)

提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信 号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换 估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了 MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．(new algorithm is proposed for elassillcation and demodulation of MFSK signals．The ridge of time— frequency representation of MFSK signals is analyzed．Modulation elassi_fieation is realized by using the unsupervised clustering algorithm to determine the optimal nulnllt2r of clusters．In order to demodulate MFSK signals，the Haar wavelet transform is used to estimate the code—width and the centers of optimal clusters are used to determine thresholds．Theoretical analysis and practical signal processing results justify the robusticity and the efficiency of the new classification and demodulation Mgorithm．)