burgers.tar

SPXY 一个用于化学计量学分析中样本选择的方法(spxy is a method called sample set partitioning based on joint x-y distances)

fuzzy logic code for temperatute process in sugar evaporator

Load image and separate RGB and function to do image substraction

matlab形态学处理的程序之连接两点之间的直线(a program to read a move into matlab for detection)

Color Image Segmentation Based on Mean Shift and Normalized Cuts

此程序用于求有向网路和无向网路的节点的度(This procedure is used to beg for the degree of the nodes of the network to the Internet and no)

独立成分分析算法降低原始数据噪声，包括AHP，因子分析，回归分析，聚类分析，与理论分析结果相比，最小二乘回归分析算法，虚拟力的无线传感网络覆盖，考虑雨衰 阴影 和多径影响，matlab小波分析程序，大学数值分析算法。( Independent component analysis algorithm reduces the raw data noise, Including AHP, factor analysis, regression analysis, cluster analysis, Compared with the results of theoretical analysis, Least-squares regression analysis algorithm, Virtual power wireless sensor network coverage, Consider shadow rain attenuation and multipath effects matlab wavelet analysis program, University of numerical analysis algorithms.)

poincare matlab files

matlab三阶自适应推导模型，可以满足理想要求，努力多日的结果(matlab adaptive third-order model is derived to meet the ideal requirements, the results of the efforts of multi-day)

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) )