我编写的流形学习算法，matlab源程序

严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计(Neural Network——BP)

Bit Error rate Simulation

codage for Reservation MAC protocole for WIMAX

有源电力滤波器的仿真模型，matlab中simulnk建模，测试可用。(Active power filter APF simulnk model)

Initialize the variables Calculates products and standards Determination of matrices B, C and D After execute this command we find that p is the max of the third and column position q Resolution of the system of equation Resolution of the system of equation in terms of A and b

fft selectcondition 条件选择 fft grandaverage 总平均(fft selectcondition in matlab fft grandaverage in matlab)

利用小波的对图像的分解和重构，然后对重构图像消噪，并比较消噪前后的图像。(the use of wavelet image decomposition and reconstruction, and then reconstructed image denoising, and compare the before and after denoising images.)

基于这个类的工具箱允许你创建在“Google地球”，许多不同的地块，由自动创建所需的基于XML的KML文件，而无需用户交互。 有了它，您可以创建： - 线图，散点图 - 二维和三维轮廓 - 2D和3D多边形 - 颤动地块 - 写在一个特定点的文本 - 将三维模型 - 覆盖图像 - 为图像传输更复杂的数字 - 文件夹，子文件夹，... 总相似图 - 动画三维模型到一个预定义的轨迹 安装到您的MATLAB路径工具箱，工具箱目录，并运行： >> kml.install 现在，每个功能和可用的参数文件。要查看帮助，在MATLAB中运行： >> kmldoc 或 >> kmldoc kml.plot％或任何其他可用的地块 如果你喜欢它，只是给我发电子邮件在说什么你使用它:) kml@rafael.aero。 灵感来自于原来的Google地球工具箱，但使用XML对象实现的，这使得它更容易使用。我只是检查在MATLAB 2011a释放，但它应该在旧版本的工作太... （让我知道如果不！）(Based on this class allows you to create a" toolbox in Google earth", many different plots, created automatically by the XML based on the KML file, without the need for user interaction. With it, you can create: - line graphs, scatter diagram -2D and 3D contour - 2D and3D polygon - fibrillation plots - written at a particular point in the text - the three-dimensional model - cover image For more complex digital image transmission Folder, subfolders, total similarity graph ... - Animated3D model into a predefined trajectory Install to your path to the MATLAB toolbox, toolbox directory, and run: > > kml.install Now, each function and the available parameter file. To view the help, running in the MATLAB: > > kmldoc Or > > kmldoc kml.plot or any other available plots If you like it, just email me say in what you use it ): kml@rafael.aero. Inspiration from the original Google earth toolbox, but using the XML object is achieved, which makes it easier to )

基于Matlab平台将LDPC码与64QAM结合进行仿真，得出误码率曲线图。(LDPC codes based on Matlab platform will combine with 64QAM simulation results BER curve.)

自适应神经网络图书馆（Matlab的5.3.1或更高版本）是实现多个自适应神经网络具有不同的自适应算法块的集合。 它主要分布于2001年6月 - 7月詹皮耶罗坎帕（西弗吉尼亚大学）和马里奥·卢卡Fravolini（佩鲁贾大学）。后来改善部分由美国航天局资助NCC5-685支持。 有迹象表明，实施基本上这些种神经网络的块： 自适应线性网络（ADALINE） 多层感知层网络 广义径向基函数网络 动力单元结构（DCS）网络的高斯或圆锥形基函数 此外，包括有关的标量非线性函数逼近的一个Simulink的例子。 最后，该文件包括Training.zip步步instrucions上如何培养GRBF网络和支撑例子。(Adaptive Neural Network Library (version 5.3.1 or higher Matlab' s) is to achieve a plurality of adaptive neural network has a different set of adaptive algorithms block. It is mainly distributed in June 2001- July 詹皮耶罗坎 Pa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improved in part by the NASA-funded NCC5-685 support. There are indications that the implementation of these types of neural networks basically block: adaptive linear network (ADALINE) multi-layer network-aware generalized radial basis function network power unit structure (DCS) network Gaussian or conical base function addition, including related Examples of scalar nonlinear function approximation of a Simulink. Finally, the document includes a step by step instrucions on how to cultivate GRBF Training.zip network and support examples.)