maxing

根据分形原理，利用差分盒维数算法计算图像的盒维数的MATLAB程序(Based on the fractal principle, using differential box fractal dimension of box dimension algorithm for computing the images of the MATLAB program)

说明：  hurst指数估计 This function does dispersional analysis on a data series, then does a Matlab polyfit to a log-log plot to estimate the Hurst exponent of the series. This algorithm is far faster than a full-blown implementation of Hurst s algorithm. I got the idea from a 2000 PhD dissertation by Hendrik J Blok, and I make no guarantees whatsoever about the rigor of this approach or the accuracy of results. Use it at your own risk. (hurst This function does dispersional analysis on a data series, then does a Matlab polyfit to a log-log plot to estimate the Hurst exponent of the series. This algorithm is far faster than a full-blown implementation of Hurst s algorithm. I got the idea from a 2000 PhD dissertation by Hendrik J Blok, and I make no guarantees whatsoever about the rigor of this approach or the accuracy of results. Use it at your own risk. )

This is function matlab provides, bio-medical function. files include: allCode.m breastcancer.mat flicker.mat medfiles.mat myfit.m plotcluster.m sulfate.mat

换热站计算及选型，非常有用，里面用的XLS编写的，直接用就可以～～～～～(Calculation and selection of heat transfer stations, very useful, which use XLS written directly on it ~ ~ ~ ~ ~)

应用平面波法模拟3-D钻石型光子晶体结构的带隙分布.(Application of Plane Wave Simulation of 3-D diamond-type photonic crystal structure, the distribution of band-gap.)

传播算子DOA估计算法MATLAB程序,估计到达角、离开角(Propagator DOA estimation algorithm based on MATLAB program)

经典图像算法书Deblurring Images: Matrices, Spectra, and Filtering里面用到的程序 (Classic image algorithms book Deblurring Images: Matrices, Spectra, and Filtering )

On Adaptive Energy-Efficient Transmission in WSNs

实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。(a novel technique to align partial 3D reconstructions of the seabed acquired by a stereo camera mounted on an autonomous underwater vehicle. Vehicle localization and seabed mapping is performed simultaneously by means of an Extended Kalman Filter. Passive landmarks are detected on the images and characterized considering 2D and 3D features. Landmarks are re-observed while the robot is navigating and data association becomes easier but robust. Once the survey is completed, vehicle trajectory is smoothed by a Rauch-Tung-Striebel filter obtaining an even better alignment of the 3D views and yet a large-scale acquisition of the seabed.)

Vth system calculation