ofdmnotes

基于MATLAB的OFDM系统仿真及性能分析，比较实用(MATLAB based on the OFDM system simulation and performance analysis, more practical)

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.)

这是matlab关于数据分析的经典程序，欢迎参考(This is a classic matlab on the data analysis procedures, please refer to)

基于交互式多模型算法进行仿真，将CV，CA模型混合起来进行估计(Interacting multiple model-based simulation algorithm, the CV, CA model to estimate mixing)

遗传算法，用matlab来实现，图像美观，更接近真实数据(Genetic algorithm, using matlab to achieve, beautiful images, closer to the real data)

白噪声序列产生maltab源代码，研究白噪声的功率谱密度(The white noise sequence generated maltab source code, research white noise power spectral density)

在matlab环境下，实现kalman滤波器跟踪目标。(in Matlab environment, the Kalman filter to track the realization of goals.)

随机信号分析实验之白噪声测试，白噪声信号的特性，包括均值、方差、相关函数、概率密度、频谱及功率谱密度等。( White noise of test random signal analysis experiment, white noise signal characteristic, including average value , variance, correlation function, probability density, frequency spectrum and power spectral density and so on. )

无线传感器网络分簇路由算法，很经典的，适合初学者练习使用(Clustering routing algorithms in wireless sensor networks, very classic, suitable for beginners to use )

说明：  svpwm仿真模型，可以在matlab中的simulink中打开，介绍描述清晰，适合初学者了解(SVPWM simulation model, can be opened in MATLAB Simulink, the introduction description is clear, suitable for beginners to understand)