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MATLAB基础讲解 适用于初学者 学会MATLAB不是问题 简单易懂 适用性强(MATLAB for beginners to learn to explain the basis of MATLAB is not a problem easy to understand applicability)

基于灰色模型的风电预测matlab程序,根据已有数据利用灰色模型预测未来的风电功率。(Wind power based on gray model prediction matlab program, based on the existing data using gray models to predict the future wind power.)

一维线阵的方向图，可以很方便在程序中更改参数(One-dimensional linear array pattern,you can easily change the parameters in the program)

研究HHT的时候的必备时频资料 有dilling的原版解释(hht spectra analysis)

ISM算法示例，基本能用，还有问题，欢迎讨论(ISM algorithm for example, the basic use, there are questions, please discuss)

matlab 的s函数模板，用s函数是，在这个基础上修改后就可以用了！！(matlab s-function template, use the s function is, on this basis can be modified after it! !)

这是一个矢量控制成功mdl模型，可改编为任何电机（永磁同步电机 异步电机等），低版本matlab上编写，大家均可成功运行 (Vector Control；PMSM Induction motor；mdl)

演化博弈仿真程序，该程序主要用于复制者动态仿真分析。(Evolutionary game simulation program，The program is mainly used for replication dynamic simulation analysis.)

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

Spectrum sensing SCS method