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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 )

四种迭代产生混沌序列的代码，基于logistic映射(Generate chaotic sequence of four iterations of code, based on logistic map)

航管雷达的天线在水平方向上具有比较窄的波束，在垂直面上具有比较宽的波束，该程序仿真了航管雷达垂直面上余割型天线方向图(ATC radar antenna has a relatively narrow beam in the horizontal direction, has a relatively wide beam in the vertical plane, the program simulates air traffic control radar vertical plane cosecant antenna pattern)

利用MATLAB对信号进行FFT处理，观察幅频响应和相频响应(FFT using MATLAB for signal processing, observed amplitude frequency response and phase frequency response)

数字喷泉码的仿真，使用C++语言所进行的仿真。(Simulation of digital fountain code, using C++ language for the simulation.)

四节累计量与music算法的结合，可很好的消除噪声。(forth combine with music,which can decrese noise)

基于matlab 和carsim的联合仿真教程，欢迎下载学习， 中文版(Based on MATLAB and CarSim co simulation course, welcome to download learning. Chinese version)

说明：  体会数值算法的稳定性与不稳定性，线性方程组的迭代法，包括Jacobi迭代法和Gauss-Seidel迭代法，SOR迭代(Experience of numerical stability and instability of the algorithm to learn how to avoid instability in the algorithm and numerical stability of the algorithm chosen to experience the stability of the algorithm' s status in the selection algorithm)

语音识别中建立语音模板的方法其中包含matlab代码。(Speech recognition method to establish a voice template contains matlab code.)

matlab code for genreration of QPSK and demodulation