chengxu

matlab从入门到精通书籍的全部源代码，内容详细，可学性高(matlab from entry to the proficient books full source code, detailed learnability)

RBF code using matlab

In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.

this an antenna proj done in matlab

包含matlab相关100个实用小程序，以txt文档记录下来 1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (Matlab-related contains 100 small utility program to record 1-32 txt document is: application of articles 33-66 are graphic: interface design articles 67-84 is: is the graphics chapter 85-100: Numerical Analysis Section)

Kohonen neural Network

kground: Abnormally high CSF 3-OMD occurs frequently for RLS patients indicating either increased L-dopa synthesis, limitations in L-dopa decarboxylation or increased MAT/COMT activity, or some combination of these. Increased tyrosine hydroxylase activity was found on both the RLS autopsy and the rodent iron-deprivation model of RLS, suggesting increased DA synthesis in RLS. We, therefore, hypothesized elevated 3-OMD in RLS results from increased DA synthesis and that this should occur accordingly with increased HVA. It would then also reflect both the more severe iron insufficiency pathology of RLS and greater clinical severity, shown by the objective measure of PLMS/hr. Methods: Patients off RLS medications and matched controls had

通过编程计算可得恢复后图像与原始图像的归一化均方误差为：(By programming available to restore the original image after the image and normalized mean square error:)

system for recognition of fingerprint

比较NLMS、基于分块的LMS和基于符号的LMS三种算法，并且实现信道均衡(More NLMS, based on the LMS and block LMS three algorithms based on symbols, and to achieve channel equalization)