three-phase-Bridge-Rectifier-Circuit-with-differe

MATLAB函数文档,包括了很多例子,非常好的学习资料(MATLAB function files, including many examples, very good learning materials)

Coaxial-Mesh generation-Finite element method-elctromagnetic-KNTU-

背景建模 混合高斯模型 opencv代码和matlab代码(Background modeling Gaussian mixture model opencv code and matlab code)

说明：  通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。(through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term traffic flow prediction. First of all, it analyzes the significance of short-term traffic flow prediction and research background. And then, it has discussed the model and structure, the study rule and the improved algorithm of BP neural network. Finally, by BP neural network to forecast the short-term traffic flow, it analyzes under different conditions of the neural network prediction.)

使用matlab命令将10进制自然数转换为16进制的小程序(Use the Matlab command decimal natural number converted to hexadecimal applet)

实现mean shift 均值漂移的基本的MATLAB算法 带有部分注释(Mean shift to achieve the basic mean shift algorithm with some of the MATLAB Notes)

说明：  用于进行变量降维的matlab程序，大家可以试一试，很有效哟(Variable Reduction Testbench MATLAB modules，it is very effective， we can try, very effective ..............)

matlab功率谱，带显著性检验,程序给予时间序列的自相关过程做简介估算(matlab power spectrum, with a significant test, the program to give time series of self-related processes do estimates About)

说明：  单级倒立摆的稳定控制，实际上是一单输入多输出系统的稳定控制。此时系统输入是电机控制电压u，输出是倒立摆竖直方向角度 和旋臂位置 。对方程(2.5)进行变形即得 与u 之间的输入输出方程,很明显,它是一个不稳定的二阶系统(Single inverted pendulum stability control, is actually a single-input multiple-output system stability control. At this point the system is a motor control input voltage u, the output is inverted pendulum angle and vertical position of spiral arms. Of the equation (2.5) for deformation of the gain and input-output equation between u, obviously, it is an unstable second-order system)

用于检测两个信号的延时情况,应用方面非常广泛(for detecting signal delay, the application is very extensive)