fourbase

如何用VC6.0和MATLAB进行联合编程文章(How to conduct a joint program VC6.0 and MATLAB article)

PSO算法在工程优化方面的应用，详细介绍了PSO(PSO algorithm for optimization in engineering applications, detailed information on PSO)

地面移动卫星信道仿真程序 考虑雨衰 阴影 和多径影响(Land mobile satellite communication channel simulation program to consider the shadow of rain attenuation and multipath effects)

Learn tutorial for matlab

四进制通信系统的进行蒙特卡罗仿真程序，以正交信号为基础。当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误差概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样(Four-band communication system to carry out Monte-Carlo simulation procedures to orthogonal signal basis. When the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 bit error probability simulation and obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

inverted pendulum pid controller matlab files used to know the controller description

说明：  这是雷达杂波幅度符合对数正态分布的仿真程序，功率谱分布符合高斯谱。(This is consistent with the range of radar clutter lognormal distribution of the simulation program, power spectrum consistent with the Gaussian spectral distribution.)

一种维特比译码的 简单实现 基于matlab(viterbi decode)

用MATlab实现的粒子群算法，比较简单，适用于刚学习粒子群算法的人，大家可以交流一下(MATlab particle swarm algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss)