Q3_1

基于离散余弦变换的数字水印提取嵌入技术应用(Based on the discrete cosine transform digital watermark embedding technology to extract)

三维TDOA_AOA定位的扩展卡尔曼滤波仿真主程序(Three-dimensional TDOA AOA positioning extended Kalman filter simulation main program)

forcast peak load with monte carlo

说明：  希尔伯特黄变换的emd分解MATLAB程序，与大家分享，多多指教(Hilbert Huang Transform MATLAB EMD decomposition process, with everyone sharing the exhibitions)

matlab与C的混编，处理乘性噪声，建立M次开根号模型，需要调整参数。(written with matlab and C by S. Yun and H. Woo, "A new multiplicative denoising variational model based on m-th root transformation".)

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)

Vision based pedestrian detection system based on pso

说明：  无刷双馈电机模型，开环仿真总是出错，希望大家帮帮忙看看啊(BDFM model, open-loop simulation is always wrong, hope that we help out and take a look at ah)

BPSK,8PSK,16QAM,32QAM,64QAM的解调程序MATLAB(BPSK, 8PSK, 16QAM, 32QAM, 64QAM demodulation procedures MATLAB)

This part of workshops tutorials from game engine A7 3D Gamestudio. With Atari s Lite(C language.-This is part of workshops tutorials from game engine A7 3D Gamestudio. With Atari s Lite-C language.)