gey

自己编写的数字接收机程序，多相信道化接收机MATLAB程序，DDC程序(An DDC program by myself)

说明：  s变换，是当前比较流行的时频分析算法，可以用于地震数据时频分析和频谱分析，该程序基于matlab平台，实现了s变换和反变换。(S-transform is a popular time-frequency analysis algorithm, which can be used for seismic data time-frequency analysis and spectrum analysis. Based on MATLAB platform, the program realizes S-transform and inverse transform.)

白噪声及有色噪声序列、M序列的产生程序，噪信比计算程序(White noise and colored noise sequence, M sequence generation procedure, noise to noise ratio calculation program)

说明：  此程序是用于模式分类的在matlabhu环境下的原代码，AI该程序是在三层bp网络的基础上结合小波知识实现的(This procedure is used for pattern classification matlabhu environment in the original code, AI that the procedure was in bp in the three-tier network based on the combined knowledge of the realization of the wavelet)

包括指纹图像的离散化，特征提取，gabor滤波等等。。(consist of dirImg,extract,gaborfilter,and so on.)

说明：  基于MATLAB软件的交流永磁同步电机调速系统研究 介绍了一种采用磁场定向理论控制交流永磁同步电机的调速系统，应用现代控制理论对 电机直交轴耦合分量进行了解耦，并利用经典控制理论设计了电流环和角速度环调节器。MATLAB 仿真 结果证明了该方法的有效性，但系统调试时仍需根据具体情况适当调整以得到更理想的效果。(MATLAB software based on the exchange of permanent magnet synchronous motor speed control system introduces a theory of the use of field-oriented control of AC permanent magnet synchronous motor speed control system, the application of modern control theory on DC motor shaft coupling the decoupling components and to make use of classical control Theoretical Design of a current loop and the angular velocity of ring modulator. MATLAB simulation results prove the effectiveness of the method, but the system still need to debug when appropriate adjustments in accordance with specific circumstances in order to obtain better results.)

总结了matlab与vc混合编程的三种常用方法，并结合了具体的实例，简单介绍了基本的操作(Matlab and vc summarized three common hybrid programming method, and specific examples, a brief introduction of the basic operations)

leafrong method matlab code

Bisection method matlab

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.)