OSGA

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)

单轴双折射晶体倍频相位匹配角的计算，可用于正单轴以及负单轴晶体。()

Another system identification toolbox user guide.

TDOA定位定位Chan算法,CHAN算法,假设移动台与各基站位置较近,需进行三四WLS计算 输入参数: R(N-1×1): TDOA测量值 Pbs(N×2): 基站的坐标,第一列为X,第二列为Y 参考基站坐标位于第一行 输出参数: POS_ref(2X1):第一次WLS的估计结果,作为参考作最终定位结果的判决 POS1(2X1) :定位结果1 POS2(2X1) :定位结果2 POS3(2X1) :定位结果3 POS4(2X1) :定位结果4(TDOA Location positioning Chan algorithm)

均匀线阵的仿真，每行后有详细的解释，对于初学者有很大的帮助(the unit line arry simulation it can help the new student learn easily and deeply )

dip solution is based on solution of text book of digital signal processing

对于无源雷达定位系统，采用测向方法对目标定位，并对定位精度进行了分析。(For passive radar location system, using the direction finding method of orientation, and the positioning precision is analyzed.)

寻找最优解或最佳路径的多种matlab算法，其中包括蚁群算法，贪婪算法，哈密顿算法，floyd算法，dijkstra算法，遗传算法等(Find the optimal solution or the best path for a variety of matlab algorithms, including the ant colony algorithm, greedy algorithm, Hamiltonian algorithm, floyd algorithm, dijkstra algorithm, genetic algorithm)

说明：  matlab源程序的经典学习案例，方便大家学习，欢迎下载！！(matlab source case study, to facilitate learning, welcome to download! !)

粘弹性介质波动方程正演程序，可以作为新手的参考程序(viscoelastic meidia wave equation modeling. written by matlab ,can used directly)