audioAnalizer.m

2DLDA PK LDA for feature extraction

先进pid matlab 仿真 刘金琨 第版 第一章程序 pid matlab simulink liujinkunc hap01_8.rar (Liu Jinkun advanced first pid matlab simulation program version of the first chapter pid matlab simulink liujinkunc hap01_8.rar)

说明：  003小波变换及其MATLAB工具的应用(003 DWT and MATLAB application tools)

MUSIC算法是基于天线阵列协方差矩阵的特征分解类DOA估计算法，这里给出的是基于四阶累计量的MUSIC算法。(MUSIC algorithm for DOA estimation algorithm is based on the decomposition characteristics of the antenna array covariance matrix given here is based on the fourth-order cumulant MUSIC algorithm.)

比较有名的matlab图像处理工具包，常见的一些图像处理功能里面都有，该工具包是一位从事计算机视觉研究的人写的，很好用，用起来也很方便(More famous matlab image processing toolkit, some common image processing functions which has the toolkit is a person engaged in computer vision research to write good use, and very convenient to use)

文件多自由度.m为单独的文件，单独执行即可，可以得到一个3自由度的系统受到脉冲作用的结果。 文control.m,plotresult.m,duoziyoudu.mdl为一个完整的程序，先执行control.m，而后执行duoziyoudu.mdl文件，最后plotresult.m文件画出结果。使用的是kobe地震波.(Document multi-degree of freedom. M as a separate document, a separate implementation can, you can get a 3-DOF system are the result of impulse. Text control.m, plotresult.m, duoziyoudu.mdl for a complete procedure, the first implementation of control.m, then the implementation of duoziyoudu.mdl documents, the final document drawn plotresult.m results. Kobe using seismic waves.)

说明：  簇系数计算函数，复杂网络基本指标。对复杂网络研究者非常有用。(Clustering coefficient calculation functions, complex network of basic indicators. Very useful in complex networks researchers.)

研究模型，可以作为仿真的模型，在上面可以进行(Research model)

In computer science and information theory, a Huffman code is an optimal prefix code found using the algorithm developed by David A.

Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)