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复杂网络一个特征为服从幂律分布，该软件提供了幂律分布matlab仿真程序(Characterized by a complex network follows a power law distribution, the software provides a power-law distribution matlab simulation program)

fem matlab method to solve linear equations

：为了提升自动控制原理课程的教学质量，改善解决课程中计算复杂、公式繁杂、难以理解等问题，我们将Matlab 仿 真技术运用于这门课程中，这款软件有助于提高学生的主动性和兴趣，促进学生分析理解问题和解决问题的能力。文章 主要介绍了Matlab 的概述和特点，Matlab 仿真技术在自动控制原理课程教学中的应用和实例等内容。(: In order to improve the quality of teaching automatic control theory courses, courses to improve the computational complexity of solving the formula complicated, difficult to understand and so on, we will Matlab simulation technology used in this course, this software helps improve students' initiative and interest, promote students' ability to analyze and understand the problem and solve the problem. The article describes an overview of the content and features of Matlab, Matlab simulation technology in teaching automatic control theory and examples of applications and so on.)

增广递增的最小二乘法，用于辨识，其中噪声信号使用的是M序列。(Augmented incremental least squares method, for identification, which the noise signal using the M sequence.)

包括各种非线性滤波算法以及具体应用实例。(Optimal Filtering with Kalman Filters and Smoothers a Manualfor the Matlab toolboxEKF/UKF)

稀疏表示分类算法在ORL人脸库上的实验，参考文章： Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227. (Sparse representation classification algorithms on ORL face experiments, refer to the article: Wright J, Yang AY, Ganesh A, et al Robust face recognition via sparse representation [J] Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31 (2):.. 210-227.)

Matlab信号处理指导电子书，分数字信号处理工具箱、阵列信号处理工具箱和时频分析工具箱三大部分分别详解且均有实例，全书351page，很不错的matlab信号处理教程。(Matlab Single Processing)

communication code ldpc

Robust cost functions that based on M-Estimators and used as cost functions in order to robustify the learning algorithms for feed-forward neural networks

多变量预测控制，运用于两输入两输出的情况，显示输入输出。(Multivariable predictive control, applied to the case of two-input two outputs, display input and output.)