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matlab编写结构计算振型分解法，能求解多自由度问题，自动绘出振型(the preparation of structural calculations matlab vibration mode decomposition method to solve the problem of multi-degree of freedom, automatic mapping mode shape)

说明：  montecarlo算法 matlab编程(montecarlo algorithm matlab programming)

genetic algorithm tool box

用于核函数的选择，也是基于最小二乘支持向量机预测问题的好帮手，希望能够搬到大家。(For the selection of kernel function, is also based on support vector machine prediction is a good helper, hoping to move to you.)

一维等离子体的zt—fdtd算法程序,也可推广到一般色散介质。-(One-dimensional plasma zt-fdtd algorithm program can also be extended to general dispersive media.-)

系统辨识中的随机牛顿法，用于系统参数辨识(System Identification random Newton method for system parameter identification)

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )

二维卡尔曼滤波，在X—Y平面上画出滤波后的值以及理想情况下的图像，通过比对，深入研究卡尔曼滤波的性质和意义(Second Kalman filter, the X-Y plane value and image ideally draw filtered through comparison, in-depth study of the nature and significance of the Kalman filter)

说明：  基于模板匹配的车牌自动识别系统的设计源代码(Based on template matching license plate recognition system design source code)

LMS和RLS自适应算法性能比较(The comparation of LMS and RLS in adapinve signal processing)