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使用MATLAB编的一段程序。用于计算时间序列的盒维数。(make it in matlab and be used to analys fractal demination)

This contains the full set of source files for the MatClass library together with a make file to create the libraries using Microsoft C/C++ v7 or later. This make file is a stand-alone file to be used with NMAKE or as a NON-PWB makefile in PWB. Note the make file generates uses the Large Memory model. It generates a library file called LIBMAT.LIB.

距离函数用matlab实现的距离函数用matlab实现的(Distance function using matlab matlab realize the distance function)

rbf MATLAB CODE 神经网络 (rbf MATLAB )

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

我导师写的《自适应控制与理论》的源代码。非常好。(My tutor had written the adaptive control and the theory of source code. Very good.)

说明：  生成PI的一个小程序 可以精确掉小数点后几百位。 (PI generated a small program can accurately swap places after the decimal point a few hundred.)

加州大学的MATLAB人脸识别代码，采用了图像结构模型，可以很好地识别人脸(University of California MATLAB code for face recognition, using the image structure model, can be a good face recognition)

CC2530的定时器实验，使用IAR编写。(CC2530 key experiments, using IAR preparation procedures.)

自己编的最新的gquad方法，非常的好用(Own series the latest gquad method, very easy to use)