IIR

数值分析程序，《精通matlab最优化计算》，适合各专业最优化计算(Numerical analysis program, "proficient in matlab optimization calculations", suitable for all professional optimization calculation)

汽车五自由度4WS模型的建立与仿真分析比较，pdf文件(Car of five 4 WS model and simulation analysis comparison, PDF file )

隐马尔科夫链的基本函数，对于一些图像识别问题有好多的作用(Hidden Markov chain' s basic function, for some pattern recognition problems have a lot of role)

cdma的通信matlab仿真，算法，论证，图片，结果(cdma communication matlab simulation, algorithm, demonstration, pictures, results)

MIT--航空航天工程中的计算方法_有限元方法实例——涡轮叶片传热 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。 (MIT- Aerospace Engineering in the finite element method calculation _ instance- turbine blade heat transfer MIT Open Course- Aerospace engineering calculation methods for this course in aviation and aerospace engineering in the calculation of the entry appears to learn. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)

trying to implimentaion of directpower control of doubly fed induction generator.

动力学分析的五种算法，分别是模态叠加法、Newmark积分算法、中心差分算法等m文件代码(m-codes about dynamic analysis )

matlab的一个GUI设计（画函数图象）(matlab GUI design)

Volume Visualization Example Matlab三维体视化 这份代码中，作者为体视化引擎创建了整洁的结构，并给出一个GUI调用的实例。通过子函数的封装，可以在GUI程序中自定义该3D三维可视化的应用实例。 (Volume Visualization Example Matlab code for three-dimensional volume visualization of this, the author of the engine for the body to create a clean and tidy as the structure, and gives examples of a GUI calls. By Functions of the package, you can customize the GUI program 3D visualization application example.)

matlab中关于工程数学的应用例程，适合工科学生，针对性强(the common use of matlab to engineering problems)