matlab

用于特征排序 特征提取前的预处理 对于m*n列的数据进行特征排序 模式识别中的特征提取或者模式分类中的预处理 (Sort feature for feature extraction pre-treatment before the column for the m* n order to characterize the data in the application of pattern recognition)

program lyaponov method

Thyristor Phase Angle Trigger module in Bridge converter file content: matlab simulink with code

该程序主要用于损伤梁的模态计算，包括特征多项式和计算的详细过程。(The program is mainly used for the modal calculation of the damaged beams, including the characteristic polynomial and computing process.)

The Prediction Algorithm Based on Fuzzy logic(Look_Up Table approach)

一种自适应的均值滤波代码，加入了自适应的阈值T(An adaptive mean filtering code, adding the adaptive threshold T)

利用卡尔曼滤波器进行信道估计 提示：信道估计的状态方程和测量方程可分别表示为 要求：给出信道均方误差随样本数增加的曲线，给出matlab程序及具体的估计过程。 (Use of Kalman filter channel estimation Tip: the state of the channel estimation and measurement equations could be specified as required: given the channel mean square error increases with the number of samples to increase the curve, given the estimated matlab program and the specific process.)

此例程是matlab6.5辅助小波分析与应用例程书中的例程，希望对您有用(This routine is matlab6.5 auxiliary routines and application of wavelet analysis of the routine book, I hope useful for you)

matlab gui电子期刊，适合初学者(matlab gui electronic periodicals )

ImageM integrates into a GUI several algorithms for interactve image processing and analysis. It allows to load images, apply filtering and/or segmentation, and run basic analyses. Interface is inspired the open source software ImageJ . To install, simply unzip, and add the path containing the +imagem directory. The application can be launched by typing: ImageM( rice.png ) (or any other image provided with the image processing toolbox). The development of ImageM started as a proof of concept for creating GUI dedicated to image processing. After adding several tools and options, I thought it could be useful to others, and maybe be used as an example of gui development. ImageM relies on the image processing toolbox and on the GUI Layout Toolbox. Most algorithms are wrapped into a specific Image class that allow to process in a unified way grayscale, binary and color images, 2D or 3D, and that can be used independently.