WavPlayer

说明：  用Matlab实现回归分析与检验,并建立其系统界面；对给定的试验数据进行回归分析并作检验(Regression analysis using Matlab implementation and testing, and establish the system interface on a given test data for testing the regression analysis and)

使用fisher判别法，实现对数据的分类，初学者可以在此基础上进行改进(Use fisher discriminant method to realize the data classification, beginners can be improved on the basis of)

说明：  利用极值分布weibull威布尔分布，先对其进行参数估计，然后判断可靠性，亲测可用(Using the Weibull Weibull distribution of extreme value distribution, the parameters of Weibull distribution are estimated first, and then the reliability is judged, which can be used in pro test)

perform transformation to time frequency domain

说明：  正交匹配追踪OMP算法，包含算法本身、单次重构测试、不同测量数恢复率以及不同稀疏度恢复率。该算法主要参考自CSDN博客上的文章。(Orthogonal matching pursuit OMP algorithm, including the algorithm itself, single reconstruction test, recovery rate of different measurements and different sparsity recovery rate. This algorithm mainly refers to articles from CSDN blog.)

Simulink，简明教程，pdf版。适合初学者。哈哈。(Simulink，matlab)

desribes how to connect pscad through matlab

MIMO OFDM matlab仿真,基于多相结构的信道化接收机，最小二乘回归分析算法。( MIMO OFDM matlab simulation, Channelized receiver based on multi-phase structure, Least-squares regression analysis algorithm.)

说明：  基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。(Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.)

说明：  一维直方图最大熵法分割图像，自己写的matlab代码，多多指教(One-dimensional histogram maximum entropy image segmentation, to write the matlab code, exhibitions)