Cluster-analysis

实现suzuki信道模型的仿真,同时包含大尺度、小尺度衰落(to simulate suzuki channel model，include large scale fading and small scale fading)

摘 要: 利用MATLAB平台的SIMULINK功能编写了一套QDPSK通用功能模块库，并在此基础上进行了多项可视化仿真,较 好地显示了数字通信的工作方式和优越性，以及采用SIMULINK进行仿真的良好的演示效果，为QDPSK数字通信系统的研究提 供了一个较好的软件平台。(Abstract: This paper gives a group of module library for digital communication function applying MATLAB’ s SIMULINK function， and offer a group of software to perform the visualizing simulation. The software perfectly shows the advantage and the process of normal digital communication. More over, it provides a software base for further study on QDPSK Digital communication.)

LTE-A系统上行链路个模块Matlab仿真程序---调制符号映射程序仿真(LTE-A uplink modules Matlab simulation program--- modulation symbol mapper simulation)

一种求随机数的方法的实现，同余随机数，比混沌随机方法更好，能通过评测。(A Method for the Realization of the method of random numbers, random number with more than )

数字通信原理教程，里面有配套的matlab仿真程序，值得学习。(Principles of Digital Communication Guide, which has a matching matlab simulation program, worth learning.)

很好的matlab 進階教學電子書,教導如何寫作matlab程式, 此為pdf檔,分為29個章節(Matlab advanced teaching good books to teach how to write matlab code, this is the pdf file, divided into 29 chapters)

说明：  匹配跟踪的mallat算法测试 For each signal analyzed, we use [CW]PPursuitTour to present a display that shows the synthesis table used, the residuals from Matching Pursuit, the Compression Numbers, and the phase plane that is generated.(Workouts for Matching Pursuits (Mallat-Zhang) For each signal analyzed, we use [CW]PPursuitTour to present a display that shows the synthesis table used, the residuals from Matching Pursuit, the Compression Numbers, and the phase plane that is generated.)

ARCOBJECTs开发指南,实例的资源文件(ARCOBJECTs Development Guide, a resource document for example)

说明：  matlab下KL变换,用于去除随机噪声(KL transform)

代码的mrics。M’是从他们的傅立叶系数的一个子集，使用总变分正则化图像重建的分裂Bregman方法的实现。使用代码指令可以在文件“mrics顶在评论中发现。”。一个演示脚本也包括在内，显示正确的使用方法。(The code ‘mrics.m’ is an implementation of the Split Bregman method for reconstructing images a subset of their Fourier coefficients using total-variation regularization. Instructions for use of the code can be found in the comments at the top of the file “mrics.m”. A demo script is also included that demonstrates proper use of the method.)