Descriptionofprogram

用来进行多目标跟踪的JPDA算法的MATLAB程序包. 跟踪效果还行. (An MATLAB implementation of JPDA multitarget tracking algorithm.)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。(DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the "noise" of the spatial database found clusters of arbitrary shape.)

基于Matlab遗传算法工具箱的优化计算实现.pdf 还不错哦(Matlab GA optimal compution)

遗传算法的matlab源代码。。可以应用于图像灰色处理及图形退化模型等诸多模型(Genetic algorithm matlab source code. . Grey can be applied to image processing and graphics degradation model and many other models)

2014研究生数学建模竞赛A题及相关资料，供大家学习交流(2014 Graduate Mathematical Contest in Modeling A title and related information , for we learn )

Signal Processing Toolbox for Use with MATLAB - User s Guide(Signal Processing Toolbox for Use with MATLAB- User s Guide)

omp 算法 你可以通过这个算法完成图像恢复，效果好，恢复时间短，误码率低，解决凸优化算法复杂度高的缺点(omp algorithm you can accomplish by this algorithm for image restoration, good effect, shorter recovery time, error rate, to solve the shortcomings of convex optimization algorithm with high complexity)

针对奖学金的评定问题。给出20名学生的若干科学习成绩，经过理想解法对20名学生进行筛选。(Scholarship assessment. Give 20 students a number of subjects grades of 20 students, after the ideal solution for screening.)

多抽样率信号处理，包括最小二乘法、SVM、神经网络、1_k近邻法,matlab编写的元胞自动机，使用大量的有限元法求解偏微分方程，LCMV优化设计阵列处理信号，关于小波的matlab复合分析，部分实现了追踪测速迭代松弛算法。( Multirate signal processing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, matlab prepared cellular automata, Using a large number of finite element method to solve partial differential equations, LCMV optimization design array signal processing, Matlab wavelet analysis on complex, Partially achieved tracking speed iterative relaxation algorithm.)