MATSLISE_PC

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

基于等式约束和不等式约束的非线性规划的混合型惩罚函数优化方法(Based on equality and inequality constrained nonlinear programming mixed penalty function optimization)

matlab实现spase 优化，效果很是不错，算法也简洁(matlab to achieve spase optimization)

RANSAC image registration software

说明：  通过matlab实现heed算法的程序源代码(Heed the algorithm by matlab implementation source code)

boost converter for beginner

圆方程的拟合Matlab代码圆方程的拟合Matlab代码(Fitting equation round round Matlab code for fitting equations Matlab code)

调制:对每个空间流分别进行调制，输入分别为每个空间流的所有6760列、调制类型，输出结果为2行3380列复数。(Modulation: separately for each spatial stream are modulated, respectively, for all the input 6760 of each of the spatial streams, modulation type, the output of the second row 3380 complex.)

PROGRAM FOR RE TO DFA CONVERSION

用matlab实现混沌理论中的相空间重构代码，很好用的工具！(Chaos theory in phase space reconstruction using matlab code, very easy to use tool!)