wave_front

matlab编写的史密斯圆图 运行.m文件(matlab Smith prepared plans to run. m file)

分别仿真16阵元的十字阵列、线阵、面阵和圆阵的LS算法的方向图，对阵列信号处理的同学有帮助。(Simulation 16, respectively, the cross element array, linear array, planar array and the circular array pattern LS algorithm, array signal processing to help students.)

KALMAN 滤波器 辅助 在线足球运动员跟踪 球赛是由模拟器生成的日志文档 此程序只实现如何利用kalman滤波器 对2维平面上的 运动物体进行跟踪 不涉及任何图像处理的东西 (Kalman filter assisted on-line multiple objects tracking on simulated robot soccer match log file. The tracking system is working on preprocessed data, so no image processing were included in the implementation. )

认知无线电 协方差检测算法 功能强大而全面 适用于初学者(Cognitive radio covariance powerful and comprehensive detection algorithms for beginners)

A Discrete 3-Phase ProgrammableSource block is used to generate a 1 pu, 15 degrees positive sequence voltage. At t = 0.05 s the positive sequence voltage is increased to 1.5 pu. At t = 0.1 s an unbalance is introduced by adding a 0.3 pu negative sequence component with a phase of -30 degrees. The magnitude and phase of the positive-sequence component is evaluated in two diiferent ways: 1) Sequence calculation of phasors using Fourier analysis and 2) abc to dq0 transformation. Math Function and Trigonometric Function blocks are used to evaluate the magnitude and phase of the positive sequence from the d and q components: V1 = sqrt(Vd^2 + Vq^2) , Phi1 = atan(Vq/Vd))

说明：  融合中心进行SNR比较的协作频谱检测算法仿真程序(SpectrumD etection Based On Central SNR Comparison)

基于二维直方图的图像模糊聚类分割方法，内有算法的参考论文。(Two-dimensional histogram based on fuzzy clustering image segmentation algorithm, which algorithm has the reference papers.)

color image segmentation in matlab

本程序是关于常微分方程初值问题数值解的欧拉算法及线性多步法的matlab代码，对初学者有帮助，例题用的李荣华的微分方程数值解法第一章的习题(This program is about Euler algorithm for numerical initial value problem of ordinary differential equations and linear multistep method matlab code, useful for beginners, examples of Li Ronghua s numerical solution of differential equations of the first chapter exercises )

超宽带高斯噪声的计算1，与其他的几个共用(Ultra-Wideband Gaussian noise calculation 1, and some other common)