Nonlinear-dynamics-chaotic

LMS算法仿真，通过matlab仿真LMS算法的收敛速度(lms)

C-means clustering algorithm

数控机床DDA法第一象限到第二象限的椭圆插补及图形用户界面，步长可变(CNC machine tools DDA Act ​ ​ the first quadrant to the second quadrant of the ellipse interpolation and graphical user interface, step variable)

空间匹配滤波器的输出信号 2D波束方向图 不同扫描方向的波束方向切面图(Spatial matched filter output signal in Fig 2D beam scanning direction different from the direction of the beam section of FIG.)

平面8节点单元类，可以输出单元的刚度，并可通过形函数插值得到内部各点得位移、应力等。对各位以前编写的程序的一个补充和完善吧。(plane eight-unit category, the output unit stiffness, through the shape function can be interpolation points in the internal displacement and stress. Right before you and the procedure for the preparation of a supplement and perfect it.)

sar图像去噪的几种新的方法，通过反复训练模板能有较高的识别率，快速扩展随机生成树算法。( Several new methods sar image denoising, Through repeated training XyjPRvRlate have higher recognition rate, Rapid expansion of random spanning tree algorithm.)

自己编写的实现时间序列中的关建点搜索，在相似搜索和分类特征提取中常用,程序中有详细说明(achieve to find out the key point of time series ,it often to be used in similarity search and classification)

The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

This code is about adaptive autoregressive. you can find AR coefficient.

雷达信号的基本模型，高斯分布，几何分布，求信号的概率分布，概率密度函数，功率谱函数，自相关函数等等(The basic model of the radar signal, Gaussian distribution, geometric distribution, the probability distribution for the signal, probability density function, power spectrum, the autocorrelation function, and so)