assemble

基于matlab的标准闭环传递函数的阶跃响应，程序，自己编写的GUI,在GUI只需要输入阻尼系数的值即可。(Matlab-based standard step response of the closed-loop transfer function, procedures, write your own GUI in the GUI only need to enter the value of the damping coefficient can be.)

采样系统实时信号的频谱分析MATLAB程序(Real-time signal sampling spectral analysis program MATLAB)

卡尔曼滤波器的matlab文件程序，经测试可用(Kalman filter matlab file procedures used by the test)

非合作时频分析的文章，是这个方向的重要文献，对学习很有帮助(Time-frequency analysis of non-cooperation of the article, is an important document in this direction, to learn helpful)

说明：  基于蚁群算法求解对称非对称旅行商问题 (Solving Symmetrical and DisSymmetrical TSP base on Ant Colony Algorithm)

模拟信号的AM调制与解调，在simulink平台的仿真实现程序(Analog signal AM modulation and demodulation, simulation simulink platform to achieve the program)

学习MATLAB入门的有效途径，对学习新手很有帮助。欢迎下载。(learning portal, is an effective way to learn useful novice. Welcome to download.)

用sym8小波对数据进行7层分解并重建的程序，可以处理心电信号(Layer 7 data sym8 wavelet decomposition and reconstruction process can handle the ECG)

基于混沌理论的一种安全压缩感知方案设计201312-1091(The Application of Compressed Sensing in Image Compression)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)