fractal-dimension

说明：  matlab编制的选频相位补偿细化源程序。(matlab compiled detailed source frequency-selective phase compensation.)

function PSNR2 = psnr(I,I_iter) 计算峰值信噪比 I : 原始信号 I_iter : 加噪信号(function PSNR2 = psnr (I, I_iter) calculate the peak signal to noise ratio I: the original signal I_iter: adding noise signal)

Nhan dang bien so xe bang mathlab

农历及其编算。农历详细介绍，对农历相关的编程有着本源性指导作用 。(Lunar and Calculating.)

求最短路径，用matlab编写的贪婪算法。(greedy algorithm)

基于电网电压定向的矢量控制策略，其中只是电流内环部分。(The vector control strategy based on grid voltage orientation is only the inner current loop.)

说明：  一维等离子体FDTD的Matlab源代码，是时域有限差分算法中的重要算法(One-dimensional FDTD the Matlab source code for plasma, FDTD method is an important algorithm in)

The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measurements and the filter residuals.(The optimum standard Kalman filter demand 's complete knowledge of the system parameters. the input forcing functions. and the noise statistics. Several adaptive met hods have already been devised to obtain the unk nown information using the measurements and th e filter residuals.)

Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence. To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m. To run on individual video, you need to modify the dataPath and title in run_individual.m. If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!

dsb modulation with matlab