feature-extraction

the introduction to matlab is lecture of MIT. it is very good for beginner(the introduction to Matlab is lecture of MI T. it is very good for beginner)

for compression sensing

CEC2017单目标测试函数，分享给需要的同学们(CEC2017 single objective test function)

hilditch.m是hilditch细化算法。 RC_unwrap.m是逐行逐列去包裹算法。 least_unwrap.m是最小二乘去包裹算法。 FTP.m是利用傅里叶变换提取相位。 sincosfilter.m是正余弦滤波算法。 以上算法在相位图的相关计算中常用到，比如电子散斑干涉、全息干涉、相移技术等。 (hilditch.m is hilditch refinement algorithm. RC_unwrap.m is listed line by line unwrapping algorithm. least_unwrap.m is the least squares unwrapping algorithm. FTP.m is extracted by Fourier transform phase. sincosfilter.m is the cosine filter. Above algorithm in the calculation of phase diagrams related to the commonly used, such as electronic speckle pattern interferometry, holographic interferometry, phase shift technology.)

说明：  长期演进链路级仿真：采取更低复杂度的算法，而且它是基于长期演进系统级仿真的基础上发展起来。(LTE abstracts the Physical layer for lower complexity and is based on the experience built on the LTE System Level simulator.)

采用自相关法计算混沌时间序列最小延迟时间的Matlab原程序。(using autocorrelation calculated chaotic time series smallest delay time of the original program Matlab.)

直驱并网发电模型，适用于风力发电机组仿真控制模型并网部分(Direct drive power grid model, suitable for the simulation control model of grid connected wind turbine parts)

清华张旭东老师《离散随机信号处理》教材第5章。本章首先简要复习经典谱估计的基本结论，然后分别讨论基于线性系统模型和复正弦模型的功率谱估计方法。(Qinghua Zhang Xudong teacher " discrete stochastic signal processing" textbook Chapter 5. This chapter begins with a brief review of the classical spectral estimation basic conclusion, and then discuss the power spectrum estimation based on linear system models and complex sinusoidal model approach.)

svm支持向量机训练数据并试验、数据采集方法为主元分析法(svm matlab)

利用matlab编写的粒子滤波程序，能够对学习matlab有所帮助。(Prepared using particle filter matlab program, matlab can be helpful in learning.)