eigenmode_calculation

说明：  在MATLAB环境中，利用简单的加法和乘法实现基2时间抽取的FFT变换，并且能够计算出峰值点的最大值,数据点数为2的整数次幂。学习程序有利于对FFT变换的理解，以及在单片机环境或者是DSP环境中编写FFT变换C语言程序。(In the MATLAB environment, using simple addition and multiplication of time taken to achieve the base 2 FFT transform, and can calculate the maximum peak point. Learning process is conducive to the understanding of the FFT transform, and the DSP in the microcontroller environment, the environment or the preparation of FFT, C language program.)

基于点的matlab图像配准.提出一种基于小波系数的特征索引算法，实现了图像特征点对的快速搜索和两幅图像之间的匹配(Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between two images)

小波分解A Trous算法Matlab代码示例(Wavelet decomposition A Trous algorithm Matlab code examples)

An exception indicating that a cursor is out of bounds.

the recovery of the 2D SAR image with l1-norm minimization

国外经典二维喷管，matlab程序，相当经典(Nozzle matlab program)

GMM 混合高斯自适应背景维护 可以用来做行人检测 等(GMM Gaussian Mixture adaptive background maintenance can be used to make the pedestrian detection)

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

说明：  希尔伯特黄变换，用EMD将信号分解成本征模态函数，对分解的IMF分量进行hilbert变换(Hilbert Huang transform (HHT), EMD is used to decompose the signal into the cost eigenmode function, and the decomposed IMF component is transformed by Hilbert transform)

为充分发挥MATLAB和JAVA的优势，提出基于两者的混合编程技术。混合编程的关键是数据传输问题，在此采用接口技术。研究了MATLAB和JAVA在本地环境和网络环境下的混合编程方法，通过多个实例说明两者混合编程的过程和步骤(To bring into full play the advantages of MATLAB and JAVA, both based on a mixture of programming. Mixed programming, the key is the issue of data transmission in the use of interface technology. MATLAB and JAVA studied in the local environment and network environment of mixed programming, through a number of examples of mixing the two programming steps of the process and)