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本程序由经典９９行拓扑优化程序改编，可以反向进行反向夹持器的拓扑优化( A 105 LINE TOPOLOGY OPTIMIZATION CODE BY OLE SIGMUND, JANUARY 2002 This example is selected from the document of "on the design of compliant mecanisms using topology optimization" Note the input displacement is specified as 5e-3mm here )

matlab processing and realization of the voice, very useful

语音识别基于dtw算法,可以识别特定的汉字，里面有10个字的模板(speech recognition)

自定义MATLAB函数的输入输出变量个数控制，实现简单的加法运算(Since the number of control input and output variables defined MATLAB function, simple addition)

用于圆柱绕流时候流畅区域的网格划分matlab程序(When the grid is used to smooth the flow around a cylinder divided matlab program area)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )

James H. Stapleton - Models for Probability and Statistical Inference - Theory and Applications

基于matlab的图像处理工具箱，其中包括数字图像处理的基本工具(Based on matlab image processing toolbox, which includes the basic tools of digital image processing)

该算法用于脉冲雷达成像研究，采用压缩感知OMP重构算法得到场景的二维成像结果(The algorithm for pulse radar imaging, compressed sensing OMP reconstruction algorithm to get the scene of the two-dimensional imaging results)

该程序实现基于相位校正法的FFT变换算法的matlab仿真，以256点为例进行计算，已得到实验验证，注解详细，为算法的硬件实现提供充分的理论基础(The program phase correction method based on the FFT algorithm matlab simulation, for example 256 points are calculated, the experiment has been verified, detailed annotations provide adequate theoretical basis for the algorithm in hardware)