Schimit-qr

Calcular juros numa operacao de compra "a vista"

Just a few functions used in my other toolboxes, for computing MSE and PSNR and some other less common image quality metrics.

fuzzy optimization using kalman filter

PCA/LDA/LPP/TensorLPP/代码。 LPP是目前一种比较重要的子空间算法。基于Tensor的子空间算法，是传统PCA/LDA算法的进一步推广，具有重要意义。(PCA/LDA/LO/TensorLPP/code. Alignment is a more important subspace algorithm. Based on the Tensor subspace algorithm, is a traditional PCA/LDA further promote algorithm is of great significance.)

fuzzy logic and identifier design using clustering method. this script is useful for control engineers.

MODELING OF STATIC SERIES VOLTAGE REGULATOR IN DISTRIBUTION SYSTEM FOR LOSS REDUCTION

串口打开的matlab文件，感觉挺好用的(open the com method using matla )

德鲁德模型拟合，通过调节参数与金属银的介电常数实验参数拟合，得到可见光和近红外波段合适的drude模型参数(Drude model fitting, the right of the visible and near infrared bands drude model parameters by adjusting the parameters and the dielectric constant of the metal silver experimental parameter fitting)

该压缩包中包含的程序均在MATLAB下开发，从功能上分为两类。第一类名字中包含SVC的程序，主要用来对两类数据进行分类，并可以生成分类结果图。第二类名字中包含SVR的程序，主要用来对高维数据集进行预测，并可以生成预测结果图。该类程序可以很好地解决SVM中的分类及预测问题。(The archive contains the MATLAB program are under development, from the functions are divided into two categories. The first category name contains the SVC process, mainly two types of data used to classify and to generate classification result. The second category contains the name of the SVR procedures, mainly used for high-dimensional data sets to predict and can generate predictions map. The application can be a good solution in SVM classification and forecasting problems.)

Tutorial on Sift master matlab