m10_2

详细给出了64qam系统的 误码率计算的matlab程序 并绘出了其误码率曲线(detailed 64qam given the BER calculation of Matlab procedures and draws its error rate curve)

.NET与Matlab结合 —— 最小二乘法直线拟合（C#）(. NET integration with Matlab- least squares fitting a straight line (C#))

从ansys中读取数据的matlab源代码(Matlab source code to read data from ansys)

基于决策树的五分类算法，可以达到较高的识别率(The five classification algorithm based on decision tree can achieve higher recognition rate.)

变压器的开路实验和短路参数实验，参数为240kv，4800/240v；60hz的频率曲线图(The experiment and short circuit transformer parameters, 240kv parameters for the experiment, 48/240v, 60hz frequency curve)

介绍一个如何用MATLAB中的限幅方法仿真PAPR(introduce a clrpping method to simulation PAPR)

这里是通信领域中各种基带信号（非常全，几乎最新的都有），用matlab编写，给出了相应的带宽和功率谱密度，很值得学习通信的看看(Here are the various communications baseband signal (very full, almost all the latest), written with matlab, the corresponding bandwidth and power spectral density, it is worth learning to see communication)

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

基于matlab 编写的流体计算和传热程序 包括11个程序(matlab CFD )

说明：  高频段高，低，陷波滤波器的全套，里面有详细的例子和说明。电子科技大学电子工程学院版权(all things to design filters,such as high-frequency,bandpass,lowpass.UESTC copyright)