iner_leaving

瑞利衰退通道模型，以matlab寫成。這是我用網路上可找到的資源，加以修改，使其更能適應各種不同狀況的模型。(Rayleigh fading channel using Dent model, and my own improvement.)

说明：  《模糊ART和模糊ARTMAP 神经网络》这些文件包允许你创建、训练、测试模糊ART和模糊ARTMAP神经网络。 作者: Aaron Garre("vague and ambiguous ARTMAP ART neural network" These packages allow you to create, training, testing and Fuzzy Fuzzy ART ARTMAP neural networks. Author : Aaron Garre)

MATLAB_SIMULINK在电力系统工程仿真中的应用，本书对电力系统仿真的各元器件进行了详细的介绍，同时采用大量案例，学习simulink在电力系统仿真很容易上手。(MATLAB_SIMULINK in power systems engineering simulation applications, this book on the power system simulation carried out for each component in detail, while using a large number of case study in the power system simulation simulink very easy to use.)

推导运动学中杆运动模型的例程，对初学者有一定的价值。(Kinematic motion model is derived in the bar routines, for beginners a certain value.)

说明：  MIMO相关的空时编码 包括调制编码等等(MIMO related to the modulation coding space-time coding, etc.)

说明：  本文应用软件无线电思想对全数字接收机中的几个关键技术进行了研究，对其中的基本结构及基本模块进行了建模仿真。 (In this paper, thinking of all-digital software radio receiver in several key technologies were studied, of which the basic structure and the basic module of modeling and simulation.)

（一）时域采样及其频谱 一．实验目的:1.熟悉Matable的实验环境,并学会 如何利用其进行对信号处理进行图形分析. 2.编程计算于模拟信号的连续频谱和离散采样信号的连续频谱,实现时域采样及其频谱分析,充分理解时域采样的特点及定理,并在实验过程中体会奈奎斯定理. 二．实验环境: MATABE软件平台 ((1) domain and a spectrum. Experimental purposes : 1. Matable familiar with the experimental environment, and learn how to use their right for signal processing graphics for analysis. 2. Programming from the calculation of continuous analog signal spectrum and from the San continuous sampling signal spectrum to achieve sampling and time-domain analysis of the spectrum, the time-domain fully understand the characteristics and sampling theorem. and the experimental process Experience Naikuishi theorem. 2. Experimental environment : MATABE software platform)

FBP投影算法 用来实现CT图像的复原 调试通过 希望对初学者有用(FBP algorithm for the reconstruction of CT image)

matlab lena blur iamge

Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)