SUSAN

clip&Filter,PTS和SLM三种降低PAPR的方法以及其优化算法，代码简单，注释丰富，绝对可以运行，有很大的参考价值。(clip )

这是信号处理中循环谱密度的一个DEMO，有些文章中称其为循环平稳信号的组合切片(A demo of cyclic spectra density. it also can be called combinated splice on cyclostationary signal in some papers.)

蚁群聚类算法，这个算法在处理油色谱数据时很有用的(Ant colony clustering algorithm, this algorithm is useful when dealing with the oil used for chromatographic data)

simulink初学者教程，挺不错的，精通simulink系统仿真与控制(simulink tutorial for beginners, listening to good)

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)

least square system identification

用matalab编译的hough变换法求图像的倾斜角，很好的程序哦(Compiled using matalab slope Angle of the hough transform method of image, a good program)

说明：  dmc代码,实现动态矩阵控制，老外编写的代码(DMC)

this is program of my project

a source code to do the compression with low a and low mu