diningphilosophers

View dicom Picture use C++

armold 变换是数字图像置乱中常用的一种方法。本文给出了armold 变换的matlab源代码，以方便大家的使用。(armold digital image scrambling transformation is commonly used methods. In this paper, armold transform matlab source code to facilitate everyone' s use.)

国外牛人写的聚类算法，是k-means算法的升级版(Written by foreign cattle clustering algorithm, k-means algorithm is an upgraded version of)

熟悉非高斯色噪声的产生过程，并对其进行参数估计。 产生一高斯噪声，让其通过一线性系统，再得到符合需要的对数正态分布。 (Familiar with the process of non-Gaussian colored noise generated, and estimated its parameters. Generate a Gaussian noise, so that the linear system to meet the needs of the lognormal distribution.)

基于MATLAB编程能计算任意个节点的介数(Can calculate the betweenness of any node Based on MATLAB programming)

C/C++ and Matlab types convertor

Z-Source Inverter with maximum Boost Control

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

此程序为关于卡尔曼滤波定位代码的matlab源程序(This paper presents a fuzzy adaptive Kalman filter technology )

This model simulate voltage sag when starting motor.