suDMC

face recognition based on PCA techniques

对发生仿射变换的图像，通过计算仿射不变矩来获得图像的不变特征。(Affine transformation of the image occurs, by calculating the affine invariant moment to get the image of the same features.)

Command window application which can manage your Email accounts. Attachments are supported.

k-mean算法，使用matlab工具箱工具对图像进行聚类分割。(k-mean algorithm, using matlab clustering toolbox tool for image segmentation.)

在基本pso的基础上做改进，引入de算法，高精度实现pso算法的寻优。(On the basis of the basic pso make improvements, the introduction of de algorithm, pso algorithm to achieve high-precision optimization.)

一个很实用的有关于高阶谱的matlab的源程序，下载可直接使用(A very practical about theHigher-Order Spectral Analysis matlab source code, downloads can be used directly)

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

matlab中的光学工具，实现光学仿真实例源代码(matlab optical tool)

three phase full wave conrolled converter

二维正态分布的检验函数，如果需要进行二维正态分布的检验，在你的程序运行前运行此程序，就可直接调用函数功能。(Dimensional normal distribution test function, if you need a two-dimensional normal distribution test, run your program before you run this program, you can directly call the function function.)