IMU_locating

对接收信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中重要的一种快速独立分量分析盲源分离算法——FASTICA(Separation of the received signal is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate the case of the so-called blind source separation, this procedure is more emphasis on blind source separation algorithm is an important one kinds of fast independent component analysis algorithm for blind source separation- FASTICA)

说明：  matlab 实现文字提取 及正负面分析(Text Classication and Sentimental Analysis)

对模糊控制器的设计以及matlab模糊工具箱的学习比较有帮助(pair of fuzzy controller design and fuzzy Matlab toolbox learning more help)

《MATLAB R2008图形与动画编程实例教程》的源代码--第二章(" MATLAB R2008 examples of graphics and animation programming tutorial" source code- Chapter II)

matlab 蚁群算法算法 matlab代码(matlab matlab code ant colony algorithm)

很好的程序哦！可以用于混沌系统的同步研究，对于系统参数未知的网络进行估计，很好！(very good！it is very helpful for our study！)

此为一个合成孔径雷达的MATLAB仿真程序。(Synthetic aperture radar MATLAB simulation program.)

说明：  通信中QAM MATLAB代码，希望对大家有帮助！(Communication QAM MATLAB code, we want to help!)

说明：  整个系统分为数据采集和数据分析两大部分，以友好的图形界面与用户进行交互沟通。 声音数据采集部分实现数据采集功能,根据用户选择的采样频率和预设的采样时间来从声卡获得用户需要的数据。并且将采集到的数据及其频谱图以图形方式很直观的呈现于用户面前。 图像采集分析部分，读入图像后，根据选择，对其进行Linear Conformal、Affine、Projective、Polynomial、Piecewise Linear、Sinusoidal、Barrel、Pin Cushion变换(The whole system is divided into data collection and data analysis of two parts, with a friendly graphical interface to communicate with the user interaction. Sound data collection part of the data collection function, according to user-selected sampling frequency and sampling time to the default user from the sound card to obtain the data needed. And the collected data and the spectrum is very intuitive graphically presented in front of the user. Image acquisition and analysis section, read the image, based on the choice of its Linear Conformal, Affine, Projective, Polynomial, Piecewise Linear, Sinusoidal, Barrel, Pin Cushion Transformation )

说明：  dbscan聚类算法在matlab上的实现(Implementation of DBSCAN cluster in MATLAB)