VCPP_Matlab

说明：  此程序为DS-CDMA链路中加入基于子空间的PASTd多用户检测方法。系统中采用m序列阔频，可以通过高斯信道或瑞利信道。可以直接运行得到不同信噪比下的误码率曲线。(This procedure for the DS-CDMA link by adding space-based sub-PASTd multi-user detection methods. System m sequence used in wide-band, you can channel through the Gaussian or Rayleigh channel. Can be directly run different SNR BER curves.)

超混沌chen-lee系统引入一个非线性状态反馈控制，将混沌Chen-Lee系统构造成四维超混沌系统。将这个四维超混沌系统作为驱动系统。采用主动控制方法构造一个响应系统，进一步选择适当的控制器使驱动-响应系统达到有限时间同步。(Hyperchaotic chen-lee system into a nonlinear state feedback control, the chaos Chen-Lee system constructed four-dimensional hyperchaotic system. This four-dimensional hyperchaotic system as the drive system. Using active control methods to create a response system, to further select the appropriate controller to drive- response system to the finite time synchronization.)

用四元十字阵做被动声定位算法设计，现在是用matlab神经网络工具箱构建RBF神经网络然后仿真显示图形(With a four-element Array do passive acoustic localization algorithm design, now using matlab neural network toolbox and then build on RBF neural network simulation display graphics)

巴特沃斯滤波器设计，双线性变换法，代码不是很长……(Butterworth filter design, bilinear transformation method, the code is not very long ... ...)

说明：  一维等离子体FDTD的Matlab源代码，是时域有限差分算法中的重要算法(One-dimensional FDTD the Matlab source code for plasma, FDTD method is an important algorithm in)

采用最先进的殖民竞争算法Imperialist competition algorithm优化BP神经网络的初始权值、阈值，进行风电功率预测，带数据和实例，ica为主程序(Using the most advanced colonial competitive algorithm Imperialist competition algorithm to optimize the initial weights of BP neural network, threshold, carry wind power prediction with data and examples, ica-based program)

PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames()

this is simple sample of Group Method of Data Handling(GMDH) neural network main file: GMDH.m

介绍了ofdm的原理，发展历史，关键技术等内容(Describes the principles of ofdm, development history, key technologies, etc.)

For Plotting in matlab