main-papr

这次是添加不同密度的高斯噪声，和上次可做对比。(This is to add Gaussian noise of different densities, and the last to do comparison.)

这是在matlab编程环境下，用小波变换实现的图像去噪处理程序。本程序可以直接加载电脑中的图片而不是使用matlab中自带的图像数据。适合小波变换去噪处理的初学者。(This is a programming environment in matlab, using wavelet transform for image denoising process. The computer program can load images directly instead of using image data that comes with matlab. Wavelet denoising for beginners.)

说明：  本系列为利用matlab救解常见微分方程的源程序及相关例子。(this series save for the use of Matlab solution of differential equations common source and related examples.)

本书较详细地论述了信号的线性检测、假设检验理论、已知信号的检测，随机信号的检测、色高斯噪声中信号的检测、序列检测、恒虚警处理、非参量检测以及在线性处理时信号参量的估计和信号参量估计的一般理论等。(This book discusses in detail the signal linear detection, hypothesis testing theory, known signal detection, random signal detection, color gaussian noise of signal detection, sequence detection, constant false alarm processing, non parameter detection and the linear processing signal parameter estimation and signal parameter estimation of the general theory, etc.)

1、Rayleigh_Doppler_singlePath.m 产生单径Rayleigh衰落，采用了6种方法并进行了比较，推荐使用第6种方法； 2、Rayleigh_Doppler_multiPath.m 根据多条径的延时和强度，产生频率选择性衰落； 在单径和多径两个程序中，均提供了其功率谱的输出代码； (1, Rayleigh_Doppler_singlePath.m Single Path Rayleigh fading generated using the six kinds of methods and compared recommend using the first six kinds of methods 2, Rayleigh_Doppler_multiPath.m Drive under a number of delay and intensity, resulting in frequency selective fading in single-track and multi-path two procedures, which provide the power spectrum of the output code )

rectifier 3 phasa close loop

this project is related to data transfer using 16-QAM. this source code will simulate 16-QAM

Matlab编写的一个翼型分析软件，且包含了大量常见的翼型数据(An airfoil analysis software written in Matlab, and contains a large number of common airfoil data)

　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.)

用于dsp的功能开发软件，可以实现普通的dsp相关计算(dsp functions)