hypo_sand_octave

归一化算法，很好的源代码，好不容易找到的，分享一下。(Normalization algorithm, a good source code, hard to find, and share.)

此例程可以帮助初学者快速入门，掌握MATLAB的基本知识，熟练MATLAB的基本原理。(This example can help beginners quick start, also grasp the basic knowledge of MATLAB,the basic principle of MATLAB .)

LDPC code已经用于DVB-S2标准。这个MATLAB程序可以用来研究LDPC码的性能。(LDPC code has been used in DVB-S2 standard. This MATLAB program can be used to study the performance of LDPC codes.)

产生不同频率、幅度的正弦波信号，叠加后，设计低通、带通滤波器进行正弦信号的谱分析及提取。(The sine wave signals with different frequencies and amplitudes are generated. After superposition, the low-pass and bandpass filters are designed for spectrum analysis and extraction of sinusoidal signals.)

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NSGA2 解决多目标优化问题，在MATLAB下编程实现，包含注释(A multi-objective optimization)

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.)

瑞利衰落信道下，分簇协作的频谱感知，设定一个门限值，在AND规则下大于门限值的仿真(Rayleigh fading channel, the clustering collaborative spectrum sensing, adaptive collaboration)

本人练习将用SBML（系统生物学标记语言）编写的XML模型读入MATLAB结构体中的转换程序(I practice will be used to SBML (Systems Biology Markup Language) to prepare the XML model is read into MATLAB structure of the conversion process)

雷达仿真的MATLAB代码，提供了大量仿真实例，非常实用！(MATLAB code for radar simulation, and provides a large number of simulation examples, very useful!)