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说明：  用QR分解来解方程AX=b，其中QR分解是用householder变换做的(With QR decomposition to solve the equation AX = b, where QR decomposition is done using householder transformation)

能够实现几种经典的分类算法（ID3，C4.5等）(It can inmplement several classic classification algrorithm(ID3，C4.5,etc.))

MATLAB STREL UNCTION MATLAB CODE IN IMAGE PROCESSIG

matlab的gui教程，非常详细，简单易懂，便于学习，非常适合新手入门(The gui matlab tutorial, very detailed, easy to understand, easy to learn, very suitable for beginners)

ofdm系统qpsk调制、awgn信道下的仿真，对于ofdm信号有全面的认知(qpsk modulation ofdm systems, simulation awgn channel under the ofdm signal for a comprehensive awareness)

我们自己编译的有助于高考报考成功的源代码。(Compiled to help our own source code of a successful college entrance examination.)

LTE系统中OFDM技术的仿真，包括循环前缀的插入去除，调制解调等主要步骤(The OFDM system of LTE, CP-OFDM, including of Cyclic Prefix modulation-demodulation and so on.)

该代码是用MATLAB写的。实现了JPEG压缩与解压缩的基本过程。适合图像方向的初学者学习使用。 MATLAB语言开发(The code is written in MATLAB. Achieve a JPEG compression and decompression of the basic process. Suitable for beginners to learn to use the image orientation. MATLAB language development)

The Driven Cavity Problem by the MAC Method

使用MATLAB，实现以下四个功能 一、获取图片RGB值：给定一张图片，获取点(x,y)，以及(x,y)周围8个点的R、G、B值。 二、实现rgb2gray函数：使用matlab实现rgb2gray的功能，并能计算出转换后灰度图片的方差。 三、灰度图对比度增强：分别使用灰度拉伸和直方图均衡化，增强给定图的对比度。 四、图像去噪：对给定图片加椒盐噪声，并选择两个去噪算法去除椒盐噪声。 (Using MATLAB, to achieve the following four functions First, access to image RGB value: Given a picture, get the point (x, y), and (x, y) around 8 o clock in the R, G, B values. Second, the realization rgb2gray function: using matlab realize rgb2gray functions, and can calculate the variance after the conversion of grayscale image. Third, the grayscale contrast enhancement: namely, the use of gray stretch and histogram equalization, contrast enhancement given graph. Fourth, the image denoising: for a given image add salt and pepper noise, and you know at least two denoising algorithm to remove salt and pepper noise. )