卷积盲源分离（2 source 基于能量相关排序）

宽带自适应波束形成ISM算法的MATLAB实现(Broadband Adaptive Beamforming Algorithm MATLAB realization of ISM)

著名的PSO优化算法测试函数，用于测试PSO算法寻优能力(PSO testing function)

包含了若干小波变换用于图像处理的MATLAB源码,很有用.(Contains a number of wavelet transform for image processing MATLAB source code, very useful.)

本程序是快速独立成分分析算法的主程序，包含了详细的注释，不含子程序。(This procedure is fast independent component analysis algorithm of the main program, including detailed notes, excluding subroutine.)

说明：  这是基本Matlab的仿真原码，功能是验证无码间干扰的条件，包含了滚降滤波，参杂噪声，衰减，和眼图。(This is substantially the Matlab simulation original code, the function is to verify the absence of inter-symbol interference conditions, contains a rolloff filter, mixed noise, attenuation, and eye diagram.)

ZF MMSE QPSK 16-QAM mimo 2x2 4x4 v-blast

时间序列数据分析中的梅林变换工具，可以广泛的应用于数据预测及数据分析,利用最小二乘法进行拟合多元非线性方程。( Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data, Multivariate least squares fitting method of nonlinear equations.)

全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"(Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg)

extreme learning machine 例子 run sinc_mean (extreme learning machine examples run sinc_mean)

罗吉斯回归程序 提供matlab环境下仿真程序(Logistic regression procedure matlab simulation environment)