largest_lyapunov

利用music方法来进行doa估计，常用于阵列信号处理中(The use of music means to carry out doa estimation, commonly used in array signal processing in)

I simulate a very simple interfrogram

对一维脉冲信号可去除基底，且做结构函数分析。如果是二维信号，可进行动态谱分析，进行二维高斯函数拟合(Can remove the base and do the structure function analysis of the one-dimensional pulse signal. If it is a two-dimensional signal dynamic spectral analysis, two-dimensional Gaussian function fitting)

用拖布列兹MUSIC估计来波方向，及对数据协方差矩阵斜对角线上的元素进行平均再DOA估计(Using drag Boulez the MUSIC estimated to wave direction, and the average re-DOA estimated data covariance matrix oblique diagonal elements)

说明：  各向异性材料的刚度矩阵计算M文件，适合初学者学习和运用(The stiffness matrix calculation m file of anisotropic material is suitable for beginners to learn and use)

说明：  英文书《The Finite Element Method Using MATLAB, Second Edition》附带实例(English book )

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)

matlab 2048 游戏！转载与matlabsky论坛！！(matlab 2048 game)

base implementation of MD4 family style digest as outlined in "Handbook of Applied Cryptography", pages 344 - 347.

An example that illustrates the importance of shift-invariance is image denoising by thresholding where the lack of shift-invariance causes pseudo-Gibbs phenomena around singularities.In addition to shift-invariance, it has been recognized that an efficient image representation has to account for the geometrical structure pervasive in natural scenes. In this direction, several representation schemes have recently been proposed