Analysis-of-variance

基于稀疏分解的单个信号盲分离，从多个混合信号中，提取出我们需要的信号(Sparse decomposition based on a single blind signal separation, from the number of mixed-signal, we need to extract the signal)

模糊聚类分析，MATLAB编程实现，很好的很经典的源代码，有详细解释(Fuzzy clustering analysis, MATLAB programming, good classic source code, a detailed explanation)

Its a tutorial for matlab users.

《无线通信与原理应用》中QPSK编码的误码率曲线绘制的代码，简洁易懂。有注释，方便修改。("Wireless communications and Principle" in the QPSK coded BER curve drawing code, concise and easy to understand. Notes, easy to modify.)

用natlab将iris数据聚类为三类。然后将结果与虹膜数据集中的正确结果进行比较，并计算分类精度(You are offered the iris dataset of the UCI dataset. Cluster the data to three categories. Then compare the result with the correct one in iris dataset and compute the classification accuracy.)

二维FDTD算法仿真，并带完全匹配层，输入波形为高斯波、平面波(Two dimensional FDTD algorithm is simulated, with a complete matching layer, and the input waveform is Gao Sibo and plane wave)

作者通过matlab编程，对遗传算法进行了演示。遗传算法是一种全局优化算法，不仅对单个算法可以进行优化，也可以对多个算法进行组合优化。(Author through matlab programming, genetic algorithm demo. Genetic algorithm is a global optimization algorithm, not only for a single algorithm can be optimized, you can on a number of combinatorial optimization algorithm.)

说明：  一篇关于matlab命令的学习文档，很适合初学者，我是新手还没有太多这方面的源码，只好自己手头的学习资料和大家分享(A study document on the matlab command, it is suitable for beginners, I am a novice in this area have not so much the source, but to their own learning materials on hand to share)

此书是介绍beamforing技术的书籍，书中对这个 有较为详细的说明介绍，对于了解这个技术非常好(This book focused on beamforming tech and give us some detailed information on this tech)

主要用途是对抗多径衰落。由于多径衰落的存在，使得同一个帧由于路径不同，到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰，影响 性能。另外，由于有了循环前缀，使得IFFT FFT操作把原来的线性卷积变成循环卷积，大大简化了相应的信号处理复杂度(The main purpose is to fight against multipath fading. Due to the presence of multipath fading, the first after they have the same frame different paths to reach the client delay. Would cause mutual interference between sub-carriers in the frequency domain, affecting performance. In addition, thanks to the cyclic prefix, so IFFT FFT operation to the linear convolution of the original into a circular convolution, greatly simplifying the corresponding signal processing complexity)