WPSP

SPRINGER PAPER FOR EMPIRICAL ODE DECOMPOSITION

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

matlab学习书籍，很有用的，大家可以根据这个自学！(matlab learning books, very useful, we can according to the self-study!)

matlab code for Particle Swarm Optimization (Vectorized Code)

基于Guinea地理环境运输的幅轴式网络模型的Matlab实现，共勉(Network model amplitude axis Guinea geographical environment of transport based on Matlab implementation, encourage each other )

CNN - Convolutional neural network class

完整的雷达系统仿真程序，完整的雷达系统仿真程序(Complete radar system simulation program)

基于能量检测算法的认知无线电频谱检测技术研究roc源程序，很实用的。(enegry detection)

蜂窝小区资源分配，分配功率和频率资源，通过遍历实现吞吐量最大化。(Cell allocation of resources, power and frequency allocation of resources to maximize throughput achieved by traversing.)

卡尔曼滤波在低轨卫星精密定轨中的应用,对于初学者来说是比较好的学习资料~~~~(Kalman filter in LEO satellite precise orbit determination in the application, is a good learning materials for beginners ~ ~ ~ ~)