A

信号经过两个独立的信道传输，两个信道的信道复增益分别为 和 。 是独立同分布的复高斯随机变量，实部虚部独立、均值为0，实部虚部的方差都是1。采用某分集技术后输出的信噪比为 ，其中 是常数， 是在 之间均匀分布的随机变量。请就不同的 、 ，用仿真的方法画出 的累积分布函数。(signal after two independent Channel Tunnel, Channel 2 Channel Minute respectively, and gain. Independence is the same complex Gaussian distribution of random variables, is the imaginary part of the Department of independence, mean 0 and the real part of the imaginary part is a variance. Using a diversity of the output signal-to-noise, which is constant, is the uniform distribution between random variables. Please different, and simulation methods paint the cumulative distribution function.)

Matlab Code for Gaussian Filtering

是Matlab图像处理的原程序代码，适合初学者使用。(Matlab image processing is the original code, suitable for beginners.)

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)

基于MatlabSISO工具箱设计，用于PID参数整定，一个简单的例子，适合初学者。(Designed based MatlabSISO toolbox for PID parameter tuning, a simple example for beginners.)

很全面的图像分割matlab代码，内含分水岭算法，区域生长法等，亲试，很好用(a very comprehensive image segmentation matlab code, including watershed algorithm, region growth method, etc., pro-test, very useful)

是小学期课程设计的题目，小波包分析提取振动信号中的特征频率，音频信号通过LM386放大。( Is the topic of the elementary school stage curriculum design, Wavelet packet analysis to extract vibration signal characteristic frequency, LM386 audio signal amplification.)

对sgy格式的地震数据，进行各种操作。包括读取和制作，以及道头字提取，地震数据提取等。期待与有共同目标的朋友们研究。(Sgy format for seismic data in the various operations. Including the reading and production, as well as the Road, the first word extraction, data extraction, such as an earthquake. Look forward to working with common goals have friends study.)

采用低通性质的平滑函数为高斯函数，根据他的一阶导数、二阶导数作为小波基函数进行突变点分析。 (The use of low-pass nature of the smoothing function for the Gaussian function, according to his first derivative, second derivative wavelet basis function as a point mutation analysis.)

The file is used for Image smoothing.