White-noise-autocorrelation

本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。(This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods.)

Practical.Programming.In.Tcl.And.Tk,Tcl/Tk脚本语言最经典的教程,此为第四版(Practical.Programming.In.Tcl.And.Tk. Tcl/Tk scripting language classic handbook, which is the fourth edition)

求解Ds粒子衰变的手征修正参数,涉及多目标的最优化。(Chiral symmetry-breaking parameters to Ds mesons)

1可用__pso_pathplanning__机器人绕过障碍1可用__pso_pathplanning__机器人绕过障碍1可用__pso_pathplanning__机器人绕过障碍(The 1-available __pso_pathplanning__ robot around obstacles available __pso_pathplanning__ robot around obstacles available __pso_pathplanning__ robot around obstacles)

Mask2.0墨客vip无后门版本 Mask2.0 calligraphers VIP version without the back door (Mask2.0 calligraphers VIP version without the back door )

说明：  基本粒子群优化算法，： Sphere测试函数(Basic particle swarm optimization algorithm: sphere test function)

四边简支，受两个集中荷载的薄板弯矩及挠度分析程序，利用的弹性力学薄板理论。(Simply supported by two thin plate bending and concentrated load deflection analysis procedures, the use of thin elastic mechanics theory.)

用于特征脸识别的MATLAB经典代码，本科毕业设计所做，调试成功，运行结果理想(Face Recognition MATLAB for feature classic code, doing graduate design, debugging success, the results are satisfactory)

梯度矫正法MATLAB源程序，带实例仿真，系统辨识程序(Gradient correction method MATLAB source with example simulation, system identification program)

说明：  用遗传算法优化阵列，完成字典优化（减小列间相关度），实现更准确的DOA估计(With GA alg. this simulation file complete dictionary refine then getting better DOA estimate.)