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simulation plan de phase 5

程序是对从5个麦克风组成的阵列采集的信号进行降噪处理，通过自适应滤波方法实现对采集的环境噪声的去除，实现了采集纯净信号的目的。(Program is composed of from 5 microphone array processing noise signals collected by the collection of the adaptive filtering method to remove ambient noise, to achieve a pure signal acquisition purposes.)

做一个K均值聚类和模糊C均值聚类，发现了一些东西(Do a K-means clustering and fuzzy C-means clustering)

MVDR波束形成，以及与常规波束形成对比，同时提供方位谱。(MVDR beamforming, and the contrast with the conventional beamforming, while providing direction spectrum.)

这里面包含了在matlab中实现傅里叶变换的各种源程序(This contains the Fourier transform of a variety of source code in matlab)

这是根据点拟合圆和直线的matlab程序，比较简单实用(This is the basis of points won and a straight line fitting the matlab procedure is relatively simple and practical)

This is matlab simulation source code for digital communication system.

基于matlab平台上实现的遗传算法交叉算子操作，实现的是对自然数编码的两点交叉。代码无错，可以直接运行。(Based on matlab platform to achieve crossover genetic algorithm operations, the realization of the two-point crossover natural number coding. Code is error-free, can be directly run.)

SVM image classifcation for matlab

QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.(As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate.)