AHP-method

<数字信号处理>（胡广书 编）课后习题的matlab编程(lt; Digital signal processing gt; (Hu-book series) Exercise of Matlab after-school programming)

本代码在matlab下实现rs编码并加入噪声 以及纠错编码(Under this code in matlab coding realize rs and add noise and error correction coding)

binary to manchester coding matlab

本次作业是在matlab环境中实现的，主要运用了图像处理的基础知识对一张车牌图像进行预处理。如图像转换、图像形态学处理以及图像的边缘检测等来增强图像的对比度。在此基础上利用形态学方法以及投影法相结合来定位图片中的车牌，并将其从图片中剪切出来。最后，将提取出来的车牌字符分割成单个字符并组成新的图像。(This work is implemented in matlab environment, the main use of the basics of image processing on a plate image preprocessing. The image conversion, image processing, and morphological image edge detection or the like to enhance the contrast of the image. Morphology and projection Combination plates to locate the picture, and cut out the picture on the basis of use. Finally, the extracted license plate character segmentation into individual character and form a new image.)

基于Matlab的电力系统潮流计算程序源码,包括PQ分解法计算和牛顿拉夫逊发计算两部分，通过输入玩家参数信息可以计算电网潮流(EP system fucking english)

实现脉冲消隐以在通信系统去除较大干扰,保证误码率性能(Realization of pulse blanking to remove larger interference in communication system, guaranting the bit error rate performance)

Micron Technology Nand ECC 纠错编码(Micron Technology Nand ECC C Code)

Economic Dispatch for generating power system with Genetic Algorithm

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

Test limiar multipoint and compares with methods Sobel founded.