consensus-formation-control-master1111

指纹预处理程序，MATLAB编的，可以运行(Fingerprint preprocessing procedure, MATLAB series, you can run)

用matlab实现语音的加噪去噪过程，FFT变换(Implementation using matlab voice add process noise denoising, FFT transform)

说明：  这些是卷积译码程序m文件，其中viterbi.m为卷积译码程序，其余的m文件为viterbi.m中用到的子函数。均已调通，并加上注释！(These are the convolutional decoding process m paper viterbi.m for the convolutional decoding process, the rest of the m file viterbi.m used in subroutine. Have been transferred pass, and to add comments!)

基于最小均方误差方式进行波束成形，其仿真图形为角度和幅度的关系。(Method based on minimum mean square error beamforming, which is a simulation graph of the relationship between the angle and magnitude.)

模式识别与智能计算matlab实现的源代码 主要有聚类分析 手写数字分类的实现(pattern Recognition And intelligence computing)

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)

说明：  本代码编译环境为matlab，利用bp神经网络实现了建筑能耗预测，精度高，可扩展性好(This code the compiler environment Matlab, realize the building energy consumption prediction, by using the BP neural network has high precision, good scalability )

this is mpc example ....

turbo code with QPSK

基于PCA算法的matlab源代码，适合初学者，可以快速学习PCA方法(Based on PCA algorithm matlab source code, suitable for beginners, you can quickly learn PCA methods)