stiffODE

matlab例题源代码，包含很多典型的例题，很值得借鉴学习。(Example matlab source code contains many typical Example, it is worth learning to learn.)

人脸识别 求特征向量 均值脸 pca 特征值 支持向量包 各种M文件 支持向量机的应用发展等(Mean face recognition pca eigenvector eigenvalue vector covering all M documents the application of support vector machine development)

通过matlab模拟半导体激光器的动力学特性，通过调节反馈强度可以得到从弛豫震荡到混沌态的输出信号。(Matlab simulation by the dynamics of semiconductor lasers, can be obtained by adjusting the intensity of the feedback from the chaotic state of relaxation shocks to the output signal.)

说明：  matlab随机函数详细讲解，并附有实例比较(matlab random function explained in detail, along with more examples)

matlab提取呼吸和心率数据的程序，很好用，自己编写的，能在频域观察曲线！(matlab extraction procedures respiration and heart rate data, very good, I have written, can be observed in the frequency domain curve!)

matlab GUI的例子，个个都是经典，大家都下载来学习(All of the handles to the various objects created in each GUI, as well as data needed to run the GUI, are stored in a main structure called S. The fieldnames for handles are in lower case letters, and the fieldnames for data are in uppercase letters. Callback function names are designated with the fieldname of the object to which they correspond, followed by _call. Other function names are similarly designated. For instance, a keypressfcn will end in _kpfcn and a buttondownfcn will end in _bdfcn. The code of each GUI is generously commented, and subtle points may be examined in the comments (see for example the last comment block in GUI_32). If anything seems unclear, look first in the comments, and if satisfaction is not found there feel free to email me.)

说明：  通用的空间矢量脉宽调制 SPACE VECTOR PULSEWIDTH MODULATION (SVPWM)源程序(SVPWM based on C language)

仿真光纤中孤子捕获的程序.在孤子光通信中有较好的应用价值(Simulation of soliton trapping in optical fibre, which is useful in soliton communication systems.)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

Equalizer model for a comm channel