MMPF_TBD

OPTIMAL POWER FLOW WITH TCSC USING GENETIC ALGORITHM

一维和二维阵列天线FFT分析，对不同间距的均匀阵列做了详细处理(1D and 2D array antenna analysis with FFT, and dealt with different inter-element distance.)

虚拟力的无线传感网络覆盖，MIMO OFDM matlab仿真,实现了对10个数字音的识别程序欢迎大家下载学习，使用高阶累积量对MPSK信号进行调制识别，车牌识别定位程序的部分功能，相关分析过程的matlab方法。( Virtual power wireless sensor network coverage, MIMO OFDM matlab simulation, Realization of 10 digital audio recognition program Welcome to download the study, Using high-order cumulants of MPSK signal modulation recognition, Part of the license plate recognition locator feature, Correlation analysis process matlab method.)

un petit programme pour faire tourner un robot scara mais just trois routation

利用MATLAB实现二进制基带脉冲成形及眼图的绘制(Binary baseband pulse forming and eye drawing)

单相桥式逆变电路，可稳定运行仿真，推荐下载(Single phase bridge inverter circuit, stable operation simulation)

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快(Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly)

PSO与SVM如何结合及其实际应用 是一篇把这两个算法结合使用的很好文章(PSO and SVM and its practical application of how to combine these two algorithms is a combination of a good article)

说明：  找寻局部极大值的程序，采用反复差分方法，简单方便(Find the local maximum of the procedure for the repeated difference method, simple)

利用MATLAB程序仿真轴承内圈不同故障程度信号。仿真信号X由故障信号 与白噪声r两部分构成(Use MATLAB program to simulate the signal of different failure degree of bearing inner ring. Simulation signal X consists of two parts: fault signal and white noise r)