VMD

这是MATLAB7.0编程基础的源程序，全部的源程序，自己使用后感觉不错的 大家可以分享一下(MATLAB7.0编程基础-源程序)

这是一个对解偏微分方程进行求解的matlab程序(BVP5C Solve boundary value problems for ODEs by collocation.)

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

关于遗传算法的matlab 程序代码，或许对有些这方面的同仁有用(on Genetic Algorithms Matlab code, perhaps some of us in this regard useful)

IEEE数据大全,进行电力系统分析必备工具(IEEE data)

Simple but effective example of "Region Growing" from a single seed point. The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is used as a measure of similarity. The pixel with the smallest difference measured this way is allocated to the region. This process stops when the intensity difference between region mean and new pixel becomes larger than a certain treshold

matlab 16QAM调制解调程序 来自杜勇编著的数字调制解调技术的MATLAB与FPGA实现(The MATLAB 16QAM modulation and demodulation program comes from the MATLAB and FPGA implementation of digital modulation and demodulation technology compiled by Du Yong.)

用kmeans初始化em算法，并用高斯回归进行拟合，用于图想的聚类(Kmeans initialization using EM algorithm, and the use of Gauss regression fitting, used to map the clusterin)

用FFT实现的频谱分析,这里只是MATLAB代码(matlab)

FFT简称为快速傅里叶变换，是DTF处理的一般实现方法，一维距离成像就是对差拍信号进行FFT变换，变换所得到的幅值图像横坐标为距离信息，纵坐标为幅值信息，通过一维仿真，我们可以看到目标距离相对应的幅值信息。(FFT referred to as fast Fourier transform, is DTF processing general method, a d imaging is difference from pat signal FFT transform)