sfunsvpwm

frame optimization algorithmn

电力系统专业往往要涉及到故障数据处理，也就是解析COMTRADE格式的的数据文件.此代码完成读取COMTRADE格式文件的功能(matlab中) (Professionals often have to power system fault data relating to treatment, that is, analyticc COMTRADE format data files. This code completion read COMTRADE format files (matlab Medium) )

pmsm sensorless control SMOmodel.m.

这是一本关于控制系统设计的MATLAB工具书，对于控制领域的朋友来说应该很有帮助的。(This is about a control system design book MATLAB instrument for control of areas of my friends should be very helpful.)

detail explanation of matlab

利用basis pursuit算法计算图形重建，利用compressive sensing技术使用较少的数据进行图形恢复(Use basis pursuit graphic reconstruction algorithm using compressive sensing technology uses less data graphically recovery)

欢迎下载，MATLAB求函数极小值的程序(Welcome to download, MATLAB function for the minimum procedures)

Implementation of Dijkstra s method using a Matlab sparse matrix as an adjacency matrix. Zero entries represent non-existent edges. Uses linear search for simplicity

碰撞库含有很多的碰撞例子，可以直接使用！方便在学习碰撞中的各位同仁！(Library contains a lot of the collision of a collision example, can use directly!!!!! In the study of the convenient collision colleagues!!!!!)

Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is obtained by subtracting the CSF region CSF combining MS region. By applying median filter and thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its limitations are discussed.