Power-Optimization

用神经网络预测震级，输入的量有面积，烈度等等(ann earthquake)

使用MATLAB实现主成分分析，可以去除数据间的共线性及对大量数据进行降维处理。(Using the matlab to realize the principal component analysis to remove the liner of the date and reduce the dimension of the large amont of the date. )

Auvitek AU8522 QAM 8VSB demodulator driver and video decoder.

This is a Simple program to illustrate the working of Cognitive radio

极化SAR，将读取的San Francisco地区数据转成Muller矩阵的程序(Polarization SAR will read data into San Francisco Muller matrix program)

这是DeJong遗传算法matlab仿真程序，遗传算法，遗传算法(This is the MATLAB simulation program of the DeJong genetic algorithm)

arma模型，很不错的M文件，有助于学习提高(arma model, very good M-file help learning to improve)

Multiple MIMO techniques

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

this mi test m-file for matlab program