TSP-matlab-gui

雷达多目标机动跟踪 利用imm模型可以获得很好的跟踪效果，其中滤波器用了ukf和ekf. 程序列表 程序说明 CAEKF.m 采用CA模型的EKF滤波 IMMUKF.m 采用交互式多模型的UKF滤波程序 FX1.m IMMUKF.m程序中CV模型系统方程 FX2.m IMMUKF.m程序中CA模型系统方程 FZ.m IMMUKF.m程序中观测方程函数 数据列表 Measure.mat 观测数据 Real.mat 真实数据 (Using multi-mode approach of unsent Kalman filtering process, simulation of moving target tracking)

far field modelling of active optical fibre 30core

本书是关于matlab6.5的辅助优化设计的，里面有一些关于优化的算法，实例及一些源程序。(the book is on the auxiliary matlab6.5 optimal design, which a number of optimization algorithms, and some examples of source code.)

一篇英文文献，文中介绍的方法是先把图像分块，用熵值作为衡量每块图像的信息多少；计算每个图像块的熵值，熵值越大，信息含量就多。但是仅仅把熵值大的图像块拼在一起得到的融合图像有明显的不连续性，文中介绍了消除这种不连续性的方法(An English literature, the paper introduces the method is to first image block, using entropy as a measure of how much each piece of image information calculate the entropy of each image block, the greater the entropy, information content, the more. But only the entropy block large images side by side with the fused image obtained obvious discontinuity, the paper introduces the method to eliminate this discontinuity)

PV array_Grid_IncCondReg_det.mdl is a detailed model of a 100-kW array connected to a 25-kV grid via a DC-DC boost converter and a three-phase three-level Voltage Source Converter (VSC). Maximum

说明：  多种信号过完备字典学习算法的工具包，包含文献Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms中所有的算法。(Multiple signals over-complete dictionary learning algorithm toolkit, including literature Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms for all algorithms.)

《MATLABSimulink通信系统建模与仿真实例精讲》OFDM通信系统(" MATLABSimulink communications system modeling and simulation examples succinctly" OFDM communication system)

独立分量分析之四阶距方法的程序，采用matlab编写(Independent component analysis of four bands from the methods of procedure for the preparation of matlab)

说明：  数字时钟的代码非常有创意，大家可以下载试试看看，不错喔(Digital clock code very creative，You can download to try to see, oh well )

ICA算法的一个例子，适于初学者。其中采用实际的数据进行盲分离。(ICA an example of the algorithm, suitable for beginners. The actual use of these data for blind separation.)