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本书为正在使用MATLAB的人士提供了100例精选的各种实例，为大家的学习和深造提供一些思路和帮助(This book is those who are using MATLAB provides various examples selected 100 cases for our study and studies to provide some ideas and help)

刚度矩阵源程序 用matlab编写的 又错误的地方希望原谅！谢谢！(Element Stiffness SpaceTrussAssemble FrequenciesOutputAll)

matlab的重要工具箱指导书,相关统计专业的同学和行业内的人都可以学习学习.很好的资料.(matlab toolbox important guide books, statistics, professional students and people in the industry can learn him. good information.)

灰色 GM(1 ,1) 预测模型是灰色理论中的重要组成部分 ,也是主要的预测方法之一. 因此 , GM(1 ,1)模型的应用范围很广泛.,用 MATLAB 软件 实现了 GM(1 ,1)预测算法并给出了源代码.(Grey GM (1, 1) prediction model is an important part of grey theory, and it is also one of the main prediction methods. Therefore, GM (1, 1) model has wide application scope. GM (1, 1) prediction algorithm is implemented by MATLAB software, and the source code is given.)

matlab 下的协作分集和各种方案性能比较(cooperative diversity)

Matlab在图像处理中的应用源代码，用于对图像像素的处理。(Matlab in Image Processing source code for the handling of the image pixels.)

详细介绍主元分析的步骤、用matlab具体的实现方式(Details the steps of the principal component analysis using matlab specific way to achieve)

matlab 编程应用100例中的界面设计篇(Interface design articles)

用FISHER算法和基于核的FISHER算法实现样品的分类(Algorithm of FISHER FISHER algorithm based on the core sample classification )

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)