matlab-GUI

反应扩散问题长期在研究领域中c++去实现, 现在我们用MATLAB也可以(Reaction-diffusion problem in the area of research in long-term c++ to achieve, and now we can use MATLAB)

a collection of M-files to study concepts in the following areas of Fuzzy-Set-Theory: Fuzzy or Multivalued Logic, The Calculus of Fuzzy, Quantities, Approximate Reasoning, Possibility Theory, Fuzzy Control, Neuro-Fuzzy Systems.

lfm 脉冲压缩雷达 覆盖干扰MATLAB仿真(lfm radar cover jamming)

基于QR分解的MIMO系统的误码率性能仿真(QR decomposition based on the BER performance of MIMO system simulation)

　　在目前的人脸图像信息处理领域中，包含有人脸识别、人脸跟踪、姿态估计、表情识别等多个研究方向，然而，所有这些研究方向都涉及到一个人脸标识和定位的问题，即必须知道人脸在图像中的位置以及尺寸——人脸检测。因此，对于一个完整的、自动的人脸信息分析系统来说，人脸检测算法是必不可少的。本文主要是对基于matlab平台的彩色图像皮肤区域分割算法及人脸检测系统的设计做了介绍。(In the face image information processing, including face recognition, face tracking, pose estimation, expression recognition research direction, however, all of these studies are related to the direction of a person the face identify and locate the problem, that is,You must know the position of the face in the image and size- face detection. Therefore, for a complete automatic face information analysis system, the face detection algorithm is essential. This paper introduced the design of the matlab platform based on the area of ​ ​ skin of color image segmentation algorithm and face detection system.)

LSB算法，将二值（0，1）图像嵌入到指定图像（256*256）中，从第一位到第八位。(LSB algorithm, the two values (0,1) image is embedded to the specified image (256* 256), from first to eighth.)

我用的实现图像分水岭分割的代码！感觉还可以，要用的自己拿去改改(I use the watershed segmentation of image code!)

讲述了eemd和支持向量机的联合应用，看了可以受益。(Tells the story of the combined use of EEMD and support vector machine, see can benefit.)

程序对4发4收系统进行V-BLAST检测算法的仿真。发送信号采用QPSK调制，信道为准静态瑞利平坦衰落信道，引入的噪声为均值为0的高斯白噪声，接收端分别采用ZF、MMSE、ZF-OSIC、MMSE-OSIC四种检测算法，根据其误比特率比较性能。(V-BLAST detection algorithm simulation program 4 of 4 admission system. Send signals using QPSK modulation, channel quasi-static Rayleigh flat fading channel, the introduction of noise with mean zero Gaussian white noise receiving end, respectively, ZF, MMSE, ZF-OSIC, MMSE-OSIC four detection algorithm based on its The bit error rate of the comparative performance.)

A multiplexing system with NT transmit and NR equals NT receive antennas is designed. The main challenge fo systems lies in the non-orthogonality of the transmission channel. This can be solved by turbo processing. Turbo channel encoder is used for converting the bits in its suitable form. Then different M-ary QAM is compared.