DCAC-Inverter

简单蚁群算法解决tsp问题 一共有48城市 花费7分钟(Simple ant colony algorithm to solve the problem 1 tsp spent a total of 48 cities in 7 minutes)

该程序为qpsk的完整仿真程序。需要的可以下了看下 可以运行(qpsk the procedure for the complete simulation program. They may need to run the facie)

4个不同信道环境下误码率的分析，基于信噪比SNR的，通信方面(four different channel bit error rate environment analysis, based on the SNR, communications)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

本例用来说明复时谱在具有回声信号测量中的应用，这是数字信号处理的前沿课题之一。(In this case when used to describe the complex spectra with echo signal measurement, which is the forefront of digital signal processing one of the topics.)

metlab computation for UPML

说明：  this program used to detect skin in image and this is the main code that is use to detect any presence of human.

SHORTEST PATH PROGRAM

变步长LMS算法性能比较与仿真.希望有帮助(Variable step size LMS algorithm performance compared with the simulation. Hope that helps)

RGB转YIQ以便取明暗度部分，对单一图像进行人脸定位。 (RGB to YIQ brightness to take part, a single image for face positioning.)