cvpr11_faceapmodel

说明：  ofdm 信号的产生，matlab程序仿真及图形实例，用于光通信或者无线通信的信号模拟(ofdm signals generated, matlab simulation and graphic examples of procedures for optical communications or wireless communications, analog signal)

说明：  能够实现基本的遗传算法，并有相关的应用举例.(it could realise GA and some examples)

一个详细的蓝牙系统的matlab仿真，值得看一看。(Bluetooth system matlab simulation)

对图形设计的matlab源代码和部分对界面设计的matlab源代码(Graphic design of the matlab source code and parts of the interface design of the matlab source code)

说明：  具有特定密度函数的随机变量的产生 高斯随机变量 瑞利分布的随机变量(With a specific density function of random variables have Gaussian random variable with Rayleigh distributed random variables)

This thesis is a contribution to the study of systems énergieélectrique of hybrid conversion associated unsystème destocking pourun isolated site

利用GPIB接口实现HP3582A频谱仪的自动测试(Using GPIB interface HP3582A spectrum analyzer automatic test)

FXLMS method for adaptive filtering

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.)

用于复合材料mindlin板单元振动计算，可以调整是否输出振动模态(It is developed for composites laminates vabration FEM, using the theory of mindlin plate.)