xiaobojiaochen

介绍使用MATLAB软件对时间序列进行编程，里面有AR模型的建立方法(Describes the time series using MATLAB software programming, which has AR model method)

数字聚类识别,基于图像模式识别-VC++技术实现书的基础上完成的(Number of cluster identification, image-based pattern recognition technology-VC++ based on the completion of the book)

BEZIER_SURFACE_DISPLAY is a work in progress . I have managed to read the data in and display a crude image, in which each Bezier patch is represented by a flat rectangle. Obviously, I need to take the next step, which is to be able to sample the bicubic function and display a finer mesh of rectangles, in order to see the teapot in its glory!

灰色预测 可以在数学建模中使用 可以运行。 (Grey prediction)

高斯光束的傅里叶变换，基于matlab的仿真(Gaussian beam Fourier transform, matlab simulation)

Noise estimation for speech enhancement

Matlab经典教程-从入门到精通，帮助大家快速学习并掌握matlab，成为高手。(Classic Matlab tutorial- from entry to the master, to help you quickly learn matlab, become the master.To be professional man !)

盲均衡的经典算法-恒模算法，实验效果良好，是入门学习的必须(Classic blind equalization algorithm- constant modulus algorithm, the experimental result is good, the entry must learn)

这个模型解释了DFIG WT的工作。 转子侧变流器模型化为受控电压源，忽略电网侧变流器，因为机器基本上由转子侧变流器控制，大部分有功和无功功率由机器提供。 矢量控制技术用于控制DFIG。 这不是一个完整的模型，而只是那些想了解双馈电机控制的人的起点指南。 机器的有功和无功功率由转子侧转换器调节。(this model explains the working of the DFIG WT. The rotor side converter is modelled as controlled voltage source and grid side converter is neglected as machine is basically controlled by the rotor side converter and most of the active and reactive power is supplied by the machine. The vector control technique is used for controlling the DFIG. This is not a full model but only a starting guide for those who want to learn about DFIG control. the active and reactive power of the machine are regulated by the rotor side converter.)

该程序在matlab平台上实现了用最佳提取图像边缘的canny算子提取整副图像的边缘象素. 其中利用高斯函数滤除噪声和用高斯算子的一阶微分对图像滤波合并为一个算子,通过形态学算子将两幅图像的边缘进行连接.(The program in matlab platform to achieve the best extraction of the canny edge operator extract the whole image edge pixel deputy. Which use Gaussian function to filter out the noise and the use of Gaussian operator of the first-order differential of the image filtering into an operator, through morphological operators to the brink of two images connect.)