Several-MPPT-Methods

该程序可以用于产生LFM信号，并输出在理想和加噪情况下分别经过匹配滤波器后的结果。(The program can be used to generate LFM signal, and outputs the noise in the ideal case and processing each of the results after the matched filter.)

Comparison and Evaluation of Different Cluster Validity

基于matlab的蓝牙调频通信系统仿真程序(Bluetooth FM communication system simulation program matlab)

说明：  MATLAB字符与字符串编程，含大量的实例，具有参考价值(MATLAB programming characters and a string containing a large number of examples, with reference value)

Current mode signal processing

说明：  书中介绍了很多关于理工科方面matlab的应用实例。(The book describes a lot about the application of science and engineering aspects of matlab example.)

参考作物蒸散量计算公式，FAO国际农粮组织推荐的那个方法(ET0 )

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)

本程序是MATLAB里关于风机的一个工具箱，方便大家对风机的研究，大家可以网上搜索相应的help文档，方便使用( This program is a fan of the toolbox in MATLAB, to facilitate the fan research, you can search online for the corresponding help document, easy to use)

用于主成分分析的源码，由例子可以直接了解PCA的步骤方法(Principal component analysis of the source code used by the example of the method can be directly aware of the steps of PCA)