FOPA

说明：  二维阵列波束形成，波束指向图MATLAB程序(phase beamforming )

matlab design of Butterworth Band Pass Filter

fp=0.2KHz,Rp=1dB, fs=0.3KHz,As=25dB,T=1ms；用脉冲响应不变法设计一Butterworth数字低通滤波器，观察所设计数字滤波器的幅频特性曲线，记录带宽和衰减量，检查是否满足要求。(fp=0.2KHz,Rp=1dB, fs=0.3KHz,As=25dB,T=1ms；The same method to design a digital low-pass Butterworth filter, observe the design of digital filter frequency characteristic curve, recording the amount of bandwidth and attenuation, check with the impulse response meets the requirements.)

Simulation of M/G/! queue with average queue size(Simulation of M/G /! Queue with average queue size)

非常不错的书籍，《微粒群算法》供8章和2个附录，依次上传第4章绪论(Very good books, Particle Swarm Optimization for 8 chapters and two appendices, followed by From Chapter 4 Introduction)

跟踪单个粒子的particle算法，由matlab实现，内含详细的说明文档。(Particle tracking algorithm for a single particle from matlab to achieve, including a detailed description of the document.)

path planning for robot

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.)

说明：  matlab应用在工程电磁场中，利用模拟电荷法数值计算解决工程电磁场中的各种问题(matlab electromagnetic fields used in the project, using the charge simulation method to solve engineering numerical computation of electromagnetic field problems)

经典rls自适应滤波算法实现，仿真结果正确(Classic rls adaptive filtering algorithm, simulation results of the correct)