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digsilent软件平台下关于最优潮流计算的仿真(digsilent software platform simulation on optimal power flow calculation)

kaiming he的guided image filtering的c++代码，利用VS2010+OPENCV2.4.4实现，效果和公布的MATLAB代码相同。(C++ code for KaiMing He s guided image filtering, the result as same as matlab code which publish in the web, project is code via VS2010+OPENCV2.4.4.)

Multivariate Gaussian Mixture Model Optimization by Cross Entropy

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.

速度反馈异步感应电机调速系统的matlab仿真模型，mdl文件(Velocity feedback asynchronous induction motor speed control system of the matlab simulation model, mdl file)

Data Encryption by Matrix Multiplication We will only use numbers 0 to 26 for the encryptive mathematics operation. Numbers from 1 to 26 are for letters from A to Z and 0 is for all non-letter characters. To minimize usage of numbers, all letters are converted to upper case. The original message is converted to number array according to the ASCII table and minus 64. We partition whole array into blocks of 8 numbers. The last block may be added several zeros. Then multiply each block by the an 8x8 matrix A which is invertible in Z27 to get cipher data. The decryption is the same process except to use its inverse matrix B. For good visual reading, we convert all non-letter characters to under score for the decryption.

KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors

系统辨识与自适应控制MATLAB仿真一书的代码(code of System identification and adaptive control MATLAB simulation of a )

初学者，查找相邻像素值4-PATH ，然后用白色标出。(Find the adjacency value of a given pixel for image )