OFDM_OPTIMAL_rx

采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造(KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary construction in voice, image signal processing )

该文档时一个宽带信号处理的源代码，被验证是成功的，可以供学习练手(The document, a broadband signal processing, source code, to be verified to be successful, you can study and practice for hand)

K均值算法，适合于初学者。包括matlab源代码，测试数据等。(K-means algorithm)

通过聚类算法，对目标图形进行分类。已给出训练图形和目标图形(By clustering algorithm to classify the target pattern. Graphics and training has been given a target pattern)

根据2FSK调制器与解调器的组成原理，设计出整个2FSK传输系统的实现方案与电路(Based on composition theory 2FSK modulator and demodulator, the entire design implementation and circuit transmission system 2FSK)

基于目标红外特征的图像分割方法为区域生长法(Image segmentation method based on target infrared image segmentation method for region growing method)

用matlab编写的雷达系统信号仿真程序，包含雷达个部分的仿真程序()

复杂网络中基本网络模型的MATLAB的实现(The realization of a complex network of cellular automata using matlab)

扩展Klman滤波在车辆GPS/DR组合定位系统信息融合中的应用，主要包括：产生车辆运行轨迹，GPS卫星单独定位导航，DR车辆航迹单独定位导航，GPS/DR通过扩展卡尔曼滤波进行多源数据融合实现的组合定位导航。产生的结果有车辆实际运动轨迹，车辆在GPS定位下的运动轨迹，车辆在DR定位下的运动轨迹，车辆在GPS/DR数据融合后组合定位轨迹，以及各种定位方式在北向和东向各自的误差图。(The extended Klman filter in vehicle GPS/DR integrated navigation system information fusion application, mainly including: the generation of vehicle trajectory, GPS satellite positioning and navigation of vehicle track alone, DR alone, GPS/DR positioning and navigation, by extending the Calman filter to achieve multi-source data fusion combined navigation. The result of actual vehicle trajectories, trajectories of vehicles in GPS positioning, DR positioning in the vehicle trajectory, vehicle location trajectory in GPS/DR after data fusion, as well as a variety of ways to locate and east the error map in the north.)

MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transactions on Neural Networks, vol. 15, no. 5.