proj_2

基于四阶统计量的盲源分离算法（它是特征矩阵联合对角化的简称）在特定情况下具有普遍的适用性(Fourth-order statistics-based blind source separation algorithm (which is the characteristic matrix joint diagonalization short) in a particular case of universal applicability)

整理的几种信道估计方法的源码（可解压直接运行） (MIMO 信道估计 插值方法 )

多尺度熵，用于对图像和各类数字信号进行处理(multiscale entropy used for the signal processing)

Zonal reconstruction Shack-Hartmann wavefront sensor

高等数值分析中的Arnoldi算法和CG算法在matlab软件中的实现(Arnoldi algorithm and algorithm in higher numerical analysis)

偏微分方程反问题的正则化方法，后验参数估计的方法(inverse problems of parabolic equations )

说明：  针对多通道卷积混叠模型,基于信息理论的最小熵准则,利用单时间点观测样本给出了一类多通道盲反卷积 方法,这种方法不同于其它方法的地方在于考虑了源和观测信号的上下文信息.(A blind deconvolution algorithmfor a multi- channel convolution mixing model was derived. The algorithm is based on a minimum entropy contrast of information theory. The difference of the algorithm with the others is that the context message is used in contrast.)

MATLAB主要函数和命令注释，包括操作系统命令，编译M文件，用户交互式功能(MATLAB main function of the Notes and orders, including orders operating system, compiler M paper user interactive functions)

Rayleigh distribution simulation with theoretical comparison

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