motorinduccion_rotorbobinado

用于MATLAB学习小波变换,也许你会喜欢(how to learn matlab and help u ,maybe you will like it)

时间序列灰色预测G(1,1)程序，返回预测值（可指定预测数目）和精度检验统计量(Time series Grey G (1,1) process, return predictive value (can specify the number of predicted) and accuracy test statistics)

计算时间和二维直方图,在MATLAB中求图像纹理特征，用于时频分析算法。( Computing time and two-dimensional histogram, In the MATLAB image texture feature, For time-frequency analysis algorithm.)

1-d transport of solvent in ground water and its sorption in matlab.

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

此蚁群算法专门用于求解tsp问题，优化效率和鲁棒性都非常好。(this ant colony algorithm tsp devoted to solving problems, and optimize the efficiency and robustness are very good.)

慢特征分析 sfa matlb源程序 参考文献： Wiskott, L. and Sejnowski, T.J. (2002), "Slow Feature Analysis: Unsupervised Learning of Invariances",(Slow feature analysis SFA MATLB source program)

SCIG wind turbine modeling in Matlab/Simulink.

This is a code of the precise integration method.

PCA算法，用于估计大规模MIMO中的信道状态信息(The PCA is used to estimation MIMO channel)