xiaobosanjiefenjiechonggou

曲面拟合的程序，网上很多地方有，但是都是错的，我改正后上传了(Surface fitting procedure, there are many places online, but it is wrong, I uploaded the corrected)

很经典的蚁群算法的matlab源码，也可以用c++实现，不过要复杂很多，用matlab比较简单。(classic ant colony algorithm source Matlab can also use the c achieve, but many complex, Matlab using relatively simple.)

对采集来的时间信号实现eemd分解，求得若干个本征模函数分量。(Collected on time signal eemd decomposition, obtained a number of intrinsic mode function components )

Región Alcanzable para reactor cstr y pfr

matlab在图像处理中的应用介绍，还不错哦(matlab image processing application in the introduction, not bad oh)

fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian (each mean is a 2x1 vector) covar - fitted covariance for each gaussian. this is a 2x2xM matrix. t - probability of each gaussian in the complete distribution iter - number of iterations done by the function

说明：  用MATLAB进行时间序列分析,聚类分析和启发式算法一些介绍。个人收集，很有价值(Using MATLAB to carry out time series analysis, clustering analysis and heuristic introduction. Personal collection, great value)

It s an MLM script used to do online marketting!!

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

TDOA/AOA定位的扩展卡尔曼滤波定位算法，具有难度。(TDOA/AOA positioning the extended Kalman filter algorithm with difficulty.)