conjorth

这个是我本人整理的求PSNR的通用程序，是可以用的(This is my own collation of the general procedures for PSNR can be used)

都柏林大学《无线MIMO系统》（附matlab和C++仿真程序）(University College Dublin )

也是一个EKF和粒子滤波在目标跟踪方面的效果比较，比较实用，本来想留着，捐了！(Is also an EKF and particle filter for target tracking in the effectiveness of comparison, the more practical, originally wanted to keep, has donated!)

说明：  批处理画图，数据文件较多时，可以使用此程序进行批处理画图，获得直观的分析结果。(Batch drawing, large data files, you can use this procedure to batch drawing, to obtain an intuitive analysis.)

基于线性滤波法的风速时程MATLAB程序(MATLAB program based on linear filtering method of wind speed time)

是希尔伯特黄变换的matlab程序，很有用，尤其对于初学者，有问题可以和我联系，呵呵(it is for easy for the beginner)

展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. )

四维水质模型中污染浓度分布, 本程序运行需要几分钟时间； 2.两个M文件都放在MATLAB目录下； 3.在命令窗口中输入lianxuwuran(t)，回车即可运行，其中t为时间(The distribution of concentration of polluted water quality model in four )

人脸识别系统，matlab编写的，代码，具体里边有说明(Face Recognition System, matlab written code, specifically described inside)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。(This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele)