microturbine-simulation

pCA的ppt报告，PCA理论，该理论可用于降维处理，将高维数据变化 为低维数据。(ppt Report of the PCA, PCA theory, the theory can be used to deal with dimensionality reduction, high dimensional data will change for the low-dimensional data.)

Some problem to help you study pascal

图像处理MATLAB程序(教学使用）-线性图像灰度处理(MATLAB image processing program (Teaching)- linear image processing)

Single phase converter control

matlab segmentation of image to get blocks

Convert image RGB to GIELAB

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

使用高斯模型期望值最大化演算法,做圖形分割 Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture (Gaussian model using expectation maximization algorithm, to do graphics segmentation Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture)

非常有用的kalman滤波工具箱，含有很多matlab程序(Useful kalman filtering toolbox, containing a lot of matlab program)

A section focussing specifically on the linear prediction of speech then begins. The anatomical process of speech production is described, followed by an introduction to a theoretical linear model of the process