MATLABandVandVCinterface

很难得WEB。内部资料。初学者必看的，也是工程师们的良好的基础资料(A rare WEB. Internal data. Beginners a must-see, but also engineers a good basic information)

数字通信系统中信噪比与误码率关系的Matlab模拟(digital communication system signal-to-noise ratio and bit error rate of Matlab simulation)

mtlab code for finding protein coding region in DNA strand

This is my source code regarding GA for curve fitting problem. It is written on MATLAB. It can handle any curve fitting an experimental data or others data. Hopefully it can be useful.

network analysis material

一个将32路64kbps信息流合成一个基群的复用模块和相应的解复用模块，要能观察合成或分解后信息流的一致性，演示的最小时间刻度为时隙（一次采样，即1/8000秒）。(64kbps would be a 32-way flow of information into one group based reuse modules and the corresponding de-multiplexing module, to be able to observe the post-synthesis or decomposition of the consistency of the flow of information to demonstrate the minimum time scale for the time slot (one sample, that is, a/8000 seconds).)

分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。(Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine the decision rules to identify with the ability of automatic classification. This paper introduces the Parzen window method using a random pattern classifier, and achieved a simple matlab random pattern classifier.)

This is a ALGraph program, helpful for software developers. It can be related to the data structure study of good.

1.IMM.m 主要功能： （1）IMM算法的实现； （2）画出目标轨迹与利用IMM算法跟踪目标的轨迹； （3）画出位置误差与速度误差； （4）画出模型混合概率图。 2.Target_track.m 主要功能： 实现目标轨迹的产生。 3.Model_mix.m 主要功能： 实现IMM算法下，各模型的估计融合。 4.Kalman.m 主要功能： 实现模型的条件滤波，以及似然函数的输出。(1.IMM.m main functions: (1) IMM algorithm implementation (2) Draw the locus and utilization of IMM target tracking algorithm goals (3) shows the position error and speed error Mixed (4) Draw model probability plots. 2.Target_track.m main functions: to produce the target locus. 3.Model_mix.m main functions: IMM algorithm, it is estimated each model integration. 4.Kalman.m main functions: the model filter condition, and it seems natural function of the output.)

该文档是《粒子滤波原理及应用MATLAB仿真》一书的配套例程，对于学习粒子滤波算法的MATLAB实现很有帮助(This document is a companion routine to the book Particle Filtering Theory and Application of MATLAB Simulation. It is helpful for learning MATLAB implementation of particle filter algorithm.)