KSVD_Matlab_ToolBox

宽带聚焦的目的是通过一个聚焦变换矩阵，使得对应于不同频段的数据变换成同一个中心频率的数据，从而形成相关矩阵。这里的关键就在于聚焦矩阵的选取，不同的选择对应于不同的算法。(Focus on the purpose of broadband are focused through a transformation matrix which corresponds to a different band with the data converted into a center frequency of the data, to form the correlation matrix. The key here is to focus on the matrix selected, different options correspond to different algorithms.)

mulDNewton mulFastDown　解非线性方程组的方法　希望能帮到大家(mulDNewton mulFastDown method of solving the nonlinear equations we hope to help)

a matlab file to develop models for underwater acoustic communication networks

最新的三篇有关变步长的LMS算法。由于去噪，检测等。(The latest three variable step size LMS algorithm related. Because of de-noising, testing and so on.)

swarm algorithm optimization

matlab-CDMA业务信道卷积编码实现()

one inlet bay system with euler method

匹配追踪和正交匹配追踪的matlab程序 非常有用 非常详细(Matching Pursuit and Orthogonal Matching Pursuit matlab program very useful very detailed)

Escribir un programa que calcule el polinomio de interpolacion de lagrange de una funcion en unos puntos dados mediante la formula de newton,y que permite añ adir nuevos puntos de interpolacion,dibujar la funcion y el polinomio de interpolacion obtenido,hacer una version que sirva para interpolar los valores de una tabla dibujando,en este caso solo en el polinomio de interpolacion.

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)