CSCT_0_1

MATLAB初学者容易碰到的问题的相关解答，适合初学者的学习。(MATLAB for beginners easy to encounter problems related to answer, for beginners to learn.)

说明：  MATLAB工具箱进行线性回归、多元线性回归、非线性回归的很好的例子，附有教程PPT以及MATLAB程序，很实用，欢迎大家下载。(MATLAB toolbox linear regression, multiple linear regression, nonlinear regression of a good example of PPT, as well as MATLAB program with tutorials, very useful, welcome to download.)

中山大学sicily题库的一道题，解题思路明了，非常简单！(Sun Yat-sen University sicily exam a question, problem-solving Si Luming, very simple!)

ldpc编译码的matlab仿真，阿凡达了个阿斯钢阿拉德国电棍的(ldpc matlab)

基于MATLAB环境下的非线性方程组的求解方法对应的代码 简单易学 便于初学者消化使用(Based on MATLAB environment method for solving nonlinear equations corresponding code is easy to learn for beginners to use digest)

programme in matlab - simple examples of interpolation

说明：  matlab code veryusefull for students

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 )

说明：  用单纯形法解决线性规划的matlab程序(Simplex method to solve linear programming matlab program)

统计分析频谱特性，对初步学习matlab的兄弟们有一定的价值(statistical analysis)