program

根据Medioni的张量投票理论，用matlab实现二维图像的重构。(According Medioni s tensor voting theory, with the realization of two-dimensional image reconstruction of matlab.)

说明：  在地震勘探资料处理中应用的频谱分析函数。。。。。。。。。。。。。。。。。。。。。(Spectrum Analysis)

PURPOSE: [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q)

利用Elmane方法对动态系统进行建模。(Elmane method is used to analyse the dynamic system modeling.)

惯性导航工具箱，可以实现多种仿真。感兴趣的看看(Inertial navigation toolbox, can achieve various simulation. Interested to see)

VC调用matlab的典型编程，采用matlab引擎的方法，成功实现了Vc对matlab的调用。并且做了可视化的界面。把程序中的main_edgelink2换成自己要调用的matlab程序(VC typical call Matlab programming using Matlab engine, the successful implementation of the Vc Matlab call. Done a visual interface. The procedures main_edgelink2 replaced by themselves to the calling procedure Matlab)

单载波和光OFDM信号调试400M带宽5G信号，载频可变，采样率50G(Single-carrier and the bandwidth of the optical OFDM signal debugging 400M 5G signal carrier frequency variable sampling rate 50G)

WAITINPUT Prompt for user input, but no longer than t seconds

说明：  基于泊松方程的抠图技术，此程序为演示程序，可供研究参考(Poisson equation-based matting techniques, this procedure for the demonstration program for the study of reference)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.