PrenticeHallUnderstandingDigitalSignalProcessing

风力发电运行最大风能追踪控制S函数优化代码，实现了风力发电运行时发电机模型的M语言编程 (Wind power tracking control of the largest wind energy S function optimization code, run-time to achieve a wind power generator model M-language programming)

Levinson算法估计功率谱的MATLAB源程序 含有不同参数情况下的功率谱曲线，含有仿真结果(Levinson algorithm to estimate the power spectrum MATLAB source code contains the power spectral curve, in the case of different parameters contains simulation results)

研究生期间完成的有源电力滤波器仿真（APF）,采用电流内环，电压外环的双闭环控制方案。同时，交流测滤波电感经过了精心设计，滤波效果很好。(Graduate students during the simulation of active power filter (APF), the completion of the current loop, double closed loop control scheme of voltage outer loop. At the same time, the AC side inductance by design, a very good filtering effect.)

进一步采用基于距离和曲线形态的双尺度相似性度量谱聚类算法进行聚类处理，通过求n 个二次规划问题，就可以求得相似度矩阵W，降低了谱聚类算法对参数的敏感性，使算法更稳定(Furthermore, we use the two-scale similarity measure spectrum clustering algorithm based on distance and curve shape to carry out clustering. By finding n quadratic programming problems, we can obtain the similarity matrix W and reduce the sensitivity of the spectral clustering algorithm to the parameters Sex, make the algorithm more stable)

奈曼皮尔逊准则仿真，在P(H1|H0)=a的约束条件下，使P(H1|H1)最大的准则。(Neyman-pearson criterion)

说明：  整理的关于FFT的matlab程序，所用matlab版本为2016b(The matlab program of FFT is arranged. The version of MATLAB is 2016b.)

说明：  AR模型谱估计算法，对初涉AR模型谱估计的同学有很大的帮助，可以了解到其基本的模型构造和其谱估计的迭代步骤。(AR model spectrum estimation algorithm, the AR model spectrum estimation初涉students have a lot of help, it can be seen that the basic model structure and its spectral estimation iterative steps.)

该压缩包里有基于压缩感知理论的stomp、omp、和bp算法，在处理二维图像上比较有优势，可直接在matlab上运行(The bag is compressed based on compressed sensing theory stomp, omp, and bp algorithm, in dealing with a comparative advantage on the two-dimensional image can be directly run in matlab)

使用matlab编写了NRTL方程，用来计算化学工程中的相平衡(NRTL equation which can be used to predict or regress the phase equilibria.)

机器学习经典决策树算法的实现 输入训练标签输出预测结果(the classificial machine learning algorithm, input label and traning set and get predictions)