微电网优化调度

说明：  本程序是牛顿拉夫逊法求潮流，完全按照课本步骤，比较容易理解。(This program is the trend of Newton Raphson Method, complete the steps in accordance with textbooks, it is easier to understand.)

mfcc algorithm this useful for analysis signal it s important feature

这是图像识别方法bag of feature 的matlab源代码(This is image recognition method bag of feature matlab source code)

是一个关于 二维水质模型可视化方面的资料(Is a two-dimensional water quality model on data visualization)

关于数字带通滤波器的编码matlab程序。可以作为函数直接引用。(Digital bandpass filter encoding matlab program. As a function reference.)

tutorial to mathcad 15

gui learning matlab english fast start

微信定位源代码,微信定位精灵,定位助手,微信定位软件(Micro-channel positioning source code, micro-channel positioning elves, positioning aides, micro-channel positioning software)

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

《精通matlab》（张志勇北航）。内容详尽，是进一步学习matlab较好的工具(" Proficient in matlab" (Zhang Zhiyong Beihang). Detailed, is a good tool for further learning matlab)