turbo--Yu-Fei-Wu

This function used for calculate ellipse point to draw.

Various blurring effect and also it will be displaying you image with blind deconvolution.

信号处理中的旋转不变子空间法，一个很有用的程序，Matlab实现界面友好，实现串口的数据采集，相关分析过程的matlab方法，数据模型归一化，模态振动，自己编的5种调制信号，正确率可以达到98％。 ( Signal Processing ESPRIT method, A very useful program, Matlab to achieve user-friendly, Achieve serial data acquisition, Correlation analysis process matlab method, Normalized data model, modal vibration, Own five modulation signal, Accuracy can reach 98 . )

matlab函数说明详解，对初学者很有用(Description Xiangjie matlab function, useful for beginners)

cuantizacion uniforme para una señ al senoidal

Numerical optimization, NeaderMead Powell method

使用混合高斯函数，对点配准的方法，他的鲁棒性比较好。 (This package contains the MATLAB code for the robust point-set registration algorithm discribed in the A Robust Algorithm for Point Set Registration Using Mixture of Gaussians." )

MATLAB源码，P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像 P0210：在同一个窗口内显示两幅图像(MATLAB source code, P0201 : MATLAB assignment P0202 : MATLAB for the cycle P0203 : MATLAB for the cycle, and if conditions P0205 : MATLAB image processing basic operation P0206 : High MATLAB image processing P0207 : According to RGB images to create a gray-scale image P0208 : binary images from the operation of the anti-P0209 : use imshow function displays images P0210 : in the same window shows two images)

This example presents a Simulink model of an automotive wheel slip control loop as might be used in a rudimentary ABS system. Although idealized equations are used, the overall model demonstrates many of the essential features of a good Simulink model.

说明：  S 变换是 Stockwell（1996）等提出的一个时-频分析方法，它结合了短时 Fourier 变换和小波变换的特点，能够完全无损地实现逆变换。(S-transform is a time-frequency analysis method proposed by Stockwell (1996). It combines the characteristics of short-time Fourier transform and wavelet transform, and can realize inverse transform completely without loss.)