gaosi-kuosan-qiti-wuran-matlab

Image segmentation plays an important role in computer vision and image processing applications. The motivation of this project is Image Segmentation with the presence of Intensity inhomogeneities. Intensity inhomogeneity often occurs in real world images due to spatial variations in illumination and imperfections of imaging devices

2014美赛相关MATLAB程序（基于NS模型）( 2014 U.S. race-related MATLAB (NS-based model))

mppt with mrac system

本文件为本人学习matlab编成期间的部分笔记内容，都是比较重要的知识点和初学者十分容易出错或者十分困惑的问题。包括函数的重要概念，GUI回调语句中的引号问题，点运算等等。()

信号完整性分析 及新手入门需要考虑的相关事宜(Getting Started signal integrity analysis and related issues to be considered)

matlab小波分析的书里的例子源代码全在这里(matlab wavelet analysis of the book source code for all examples here)

小车的控制理论仿真程序，采用人工势场法，使小车在向目标点运动过程中能找到最短路径，并能适应环境约束。(Control theory simulation program, using the artificial potential field method, so that the car in the process of moving to the target point can be found in the shortest path, and can adapt to environmental constraints. )

如果一个对象有充足的背景反差就可以轻易的从图像中检测出来。我们使用边缘检测算法 与基本形态工具来检测前列腺癌的细胞。(Detecting a Cell Using Image Segmentation)

matlab for plot the graph lecture note

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)