wind-power-generation-system

MandelbrotSet 用于分形理论的学习中，很好！已经编译过(MandelbrotSet)

认知无线电 硬判决 matlab仿真环境 matlab代码(Cognitive radio hard decision Matlab simulation environment matlab code)

来源于国外论文，可以生成pv曲线，亲测有用(Papers abroad, you can generate pv curve, pro-test useful)

Minhashing和LSH算法。用于查找和比较一个pair是否是相似的。并分析false negative和false positive的值(Minhashing and Locality-Sensitive-Hashing (LSH). The algorithms are approximate in that they find only candidate pairs that are likely similar. Therefore, there are two types of error. A false positive (FP) is a candidate pair that is not actually similar according to the given similarity threshold. A false negative (FN) is a similar pair that is not a candidate pair. In this project, we will implement the Minhashing and LSH algorithms, apply them on data sets, and draw observations about when these algorithms perform. )

说明：  压缩传感的几篇硕博士论文，可以帮助新手入门和毕业生写论文(Compressed sensing several Dissertations, and graduates can help beginners write papers)

双馈风力发电最大功率追踪控制仿真模型，能够实现自动追踪功能(Double fed wind power maximum power tracking control simulation model, can realize the automatic tracking function)

使用该程序，可以绘制一条bezier曲线。(you can get a bezier curve by using it.)

近似熵的matlab实现程序Code for computing approximate entropy for a time series(Approximate entropy )

A Matlab toolbox to simulate light propagation for monochromatic coherent light through free-form apertures and off rough/free-form surfaces by means of a numerical approximation of the Huygens-Fresnel integral.

抽样定理演示程序，能清楚看到当抽样速率大于2fs时恢复模拟信号的过程和当抽样频率小于2fs时频率混叠的过程。同时还包括频率抽样过程的演示。非常详尽。通过此演示程序，你肯定能明白抽样定理这一通信领域基本的原理！(The sampling theorem demo program, you can clearly see that when the recovery process of the analog signal sampling rate greater than 2fs and frequency aliasing when the sampling frequency is less than 2fs process. Also includes a demonstration of the frequency of the sampling process. Very detailed. Through this demonstration program, you can certainly understand sampling theorem this basic principle in the field of communication!)