3D-vector-field-simulator-GUI

目前学习DTC的最新成果，希望可以互相借鉴，有什么不足，望指教！(DTC is currently studying the latest achievements, hoping to learn from each other, what inadequate, Wang Zhi Jiao!)

说明：  利用matlab svm对风速进行预测，自己写的 希望大家交流交流(svm windspeed)

说明：  研究新混沌所用，用于开发研究新的混沌及图形。(matalab )

利用MATLAB编写的复杂网络构造程序，很实用的代码~(Complex networks using MATLAB constructor, very useful code to)

ep. // Modules communicating with external circuits should normally be disabled // before entering a sleep mode that will stop the module operation. // Make sure the USART dumps the last message completely before turning it off. while(!usart_tx_empty(EXAMPLE_USART)) pcl_disable_module(EXAMPLE_USART_CLOCK_MASK)

二次规划是最优化理论中非常重要的内容之一，该文件夹内是二次规划经典算法的matlab源码。(Quadratic programming optimization theory is a very important element of the folder is the classic quadratic programming algorithm matlab source code.)

自动增益控制 AGC 的MATLAB 程序 (auotomation gain control matlab programmme)

为非常经典的zs细化算法，带有测试图片和matlab程序，可对测试图片进行zs细化(is the classical zs thinning)

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

随着用户数的增加，线性多用户检测器的误比特率的比较。(With the number of users increases, the linear multi-user detector bit error rate comparison.)