matlab

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

matlab采集的 噪声源码，有多个资源可供分析，是做音频噪声研究的理想材料(Acquisition noise matlab source, there are several resources available for analysis, so the audio is an ideal material for the noise study)

说明：  doppler 频移程序， 大家相互参考(doppler frequency shift procedures, U.S. cross-reference)

适合入门，空间谱估计中传播算子DOA估计算法MATLAB程序(Spatial spectrum estimate propagator DOA estimation algorithm MATLAB program for entry-)

MATLAB中GA遗传算法工具箱帮助信息(Find the minimum of a function using genetic algorithm )

Open File in Matlab and help a open anyone file in past.

Matlab编程中文版，非常棒的一本编程书！(MATLAB Programming for Engineers)

卡尔曼滤波在目标跟踪中应用仿真研究。 子函数能完成对运动目标位置的卡尔曼滤波跟踪。 主函数针对一具体假设完成跟踪，并且完成蒙特卡罗仿真。 情景假定：有一两座标雷达对一平面上运动的目标进行观测，目标在 0-600秒沿x轴作恒速直线运动，运动速度为15米/秒，目标的起始点为(-10000米，2000米)。雷达扫描周期T=2秒，x和y独立地进行观测，观测噪声的标准差均为100米。(This program described the Kalman filter algorithm according to a given scenario, simulation achieved the target tracking observation data and Kalman filter results, and the experimental results is studied using the Monte Carlo simulation. )

OSG中怎样创建多视图，利用OSG+Win32 console application实现。(make multiply views in osg)

说明：  分布式环境的计算，课件的使用，以及各种资源。。。(The research paper of “Segmentation methods of fruit image based on color difference” is mainly about four segmentation methods in fruit-harvesting robot vision, which respectively are dynamic threshold segmentation method, extended Otsu method, improved Otsu combined with genetic arithmetic and adaptive segmentation method based on LVQ network. It is written in a good structure. )