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说明：  用于计算目标回波信号，散射中心提取，可应用于各种目标(It can be used to calculate target echo signal and extract scattering center. It can be applied to various targets.)

algorithm EM for gaussian mixture

编程的文档写的很好功能很强大，谢谢你的支持(Programming document written in a very good feature is great, thank you for your support)

iwt code in images matlab code

利用超模博弈论解决认知无线网中的频谱资源分配问题。(Use supermodular game theory to solve spectrum resources allocation problem in cognitive radio networks.)

此程序用于求有向网路和无向网路的节点的度(This procedure is used to beg for the degree of the nodes of the network to the Internet and no)

matlabr软件应用的图形图像处理，很专业的教材，事例很多(matlabr graphic image processing software applications, very professional materials, many examples)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

可以读取GprMax探底雷达正演模拟的3d模型的数据的两个个matlab的M函数(3d model data can read GprMax bottom radar forward modeling function of Matlab M-)

cx_3 storage source code with examples