similar

移动网络中，AODV和DSR路由算法的matlab程序，根据已知节点可选出最优路径(Mobile networks, AODV and DSR routing algorithm matlab program, the node can be selected according to the known optimal path)

MATLAB_Exp6_0421_2006 成大教授講義(Professor at National Cheng Kung University MATLAB_Exp6_0421_2006 notes)

本文在分析移动无线信道衰落特性的基础上,阐述了OFDM系统的基本原理,主要研究了OFDM通信系统中的基于导频符号的信道估计问题,分析了几种经典的信道估计算法以及相关的关键技术环节。 在此基础上介绍了OFDM技术在现实中的一个应用——WLAN IEEE802.11a系统模型,利用Matlab仿真软件完成OFDM系统信号生成、噪声生成、导频插入、循环前缀、调制、解调等部分的设计,最后结合计算机仿真对系统关键技术(导频、循环前缀、估计算法)的有效性和可行性进行了全面的分析与比较。适合matlab研究(Based on the analysis of mobile channel fading characteristics based on the OFDM system on the basic principles of research in the OFDM communication system of the pilot symbols based on channel estimation problem, an analysis of several classical channel estimation algorithm and the associated key technical links. On this basis, introduced OFDM technology in a practical application- WLAN IEEE802.11a system model, using Matlab simulation software to complete OFDM signal generation, noise generation, pilot insertion, cyclic prefix, modulation, demodulation and other parts of the design, the final combination of computer simulation of the system of key technologies (pilots, cyclic prefix, it is estimated that algorithm) the effectiveness and feasibility of a comprehensive analysis and comparison. Suitable for research matlab)

matlab的PSO工具箱。可在matlab6.5中创建用户工具箱(Matlab toolbox. Matlab6.5 can create users Toolbox)

here is a program draw tiế p tuyế n above MATLAB

Fresnal TRansformation for image processing in matlab

This is the Source code for MATLAB DWT watermarking.

这是一个细胞自动机及相应的vote和smooth函数([chaoticrand,chaoticcell,watermark]=cellauto(480,640,1024,5) 参数说明:)

这个Matlab程序实现了MAP算法-最大后验概率算法，同时包括对算法有：卷积编码、卷积解码，BPSK，AWGN。同时绘制它的误码率和SNR(信噪比)。 (The Matlab program achieved a MAP algorithm- maximum a posteriori probability algorithm, also include the algorithm are: convolutional coding, convolutional decoding, BPSK, AWGN. At the same time rendering its bit error rate and SNR (signal to noise ratio).)

用于决策树中对数据进行分类，适合机器学习等领域(For a decision tree to classify data for machine learning and other fields)