my_code

这是一本全面介绍MATLAB建模与仿真的书籍，很难找的，在学校图书馆找到的，赶紧下(This is a comprehensive introduction to modeling and simulation of MATLAB books, hard to find in the school library to find and quickly under)

是教材matlab6.5（张志勇）的源代码,很有用的(Is a textbook matlab6.5 (Zhang Zhiyong) source code, very useful)

说明：  matlab入手教程

Make a Histogram in MATLAB from data saved to a file

Mode locked lasers fiber code, I run it from appendix but its not working. Although I tried a lot to get it resolved. .m files are enclosed.

本书为王永良的《空时自适应信号处理》，供有关人员下载(Wang Yongliang book for the )

说明：  摄像机标定matlab_cameral_colabration(Camera calibration matlab_cameral_colabration)

说明：  根据脉冲序列，使用s域z域之间的转换，求系统的脉冲响应传递函数(According to pulse sequence, the use of s-domain conversion between z-domain, and the system impulse response transfer function)

信号处理，有关自适应滤波器噪声抵消的应用；效果比较好，对学自适应滤波有一定的帮助。(Signal processing, the application of adaptive noise cancellation filter results were better for learning adaptive filter has some help.)

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 )