solveTSP

列举Matlab开发环境中函数，方便应用matlab的开发者使用。(Enumeration function in Matlab development environment, and to facilitate the development of applications matlab use.)

该文件中包含有常微分方程初值问题的四种数值解法，分别是：RK4法，AB4法，AB4_AM4预测矫正法和改进的AB4_AM4法(The document contains the initial value problem of ordinary differential equations of the four numerical method, namely: RK4 method, AB4 Act, AB4_AM4 forecast correction method and improved method AB4_AM4)

地震信号处理接收函数讲已处理好的程序进行作图(Speak seismic signal processing receiver function plotting program has been handled well)

说明：  matlab聚类分析工具箱，很好用。大家可以试一试(Matlab Toolbox cluster analysis, is useful. We can try)

计算方法中，拉格朗日插值法的源代码。在最后，绘出了拉格朗日插值法的图像和原图像的比较。原创。(Calculation method, Lagrange interpolation source code. In the end, draw a comparison image and the original image Lagrange interpolation. Original.)

sar成像算法 关于点目标仿真以及点目标成像 实验室教材(SAR imaging algorithm)

简单的matlab代码，用于实现窄带正弦干扰中的信号检测。(Detection for narrowband sinusoidal interference signal )

用MATLAB对图象进行放大或缩小,用双线性内差值方法.(zoom in or out the picture)

应用回归分析中岭回归的matlab程序代码(RIDGE REGRESSION)

若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成 W（n+1）=w（n）+ e（n）x（n） =w（n）+ （3.1） 式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。 (Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)