object-intersection

The toolbox contains functions to estimate and simulate multivariate copula GARCH models and Copula Vines. Supported copulas are the Gaussian and the T Copula. For the dynamic correlations, various specifications are supported.

计算单点相移光纤光栅的反射谱,计算单点相移光纤光栅的反射谱(Single point calculation phase shifted grating reflection spectrum)

统计信号处理不相干信号的估计，使用MUSIC算法(Estimate statistical signal processing irrelevant signals using MUSIC algorithm)

跳频扩频通信系统的主要仿真程序，包括扩频，测试和演示(The main frequency hopping spread spectrum communication system simulation program, including spread spectrum, testing and demonstration)

Generates the values in a Cumulative Match Characteristic (CMC) curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.)

M_MAP教你如何用MATLAB绘制海洋、大气类的图。可以使用各种投影，添加各种精度的岸线，绘制的图清晰美观。(M_MAP teach you how to use MATLAB mapping ocean, the atmosphere kind of map. Can use a variety of projection, the line to add a variety of precision, drawing a clear appearance of the map.)

RLS matlab program, very good

《空时码及MIMO通信的信号处理过程》书中的源程序代码，对初学者很有作用！(" Space-time codes and MIMO communications signal processing," source code book for beginners is the role!)

Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt - use offsets (1,1) (data are already logarithmized) dataSample_2.txt - use offsets (1,1) (Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt- use offsets (1,1) (data are already logarithmized) dataSample_2.txt- use offsets (1,1) )

K均值聚类是模式识别中非常重要的一种方法，通过K均值聚类可以将具有相同属性的元素进行聚合。(K-means clustering is a very important one in the pattern recognition method, polymerization by K-means clustering with the elements of the same property.)